[Federal Register Volume 64, Number 218 (Friday, November 12, 1999)]
[Proposed Rules]
[Pages 61740-61764]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 99-29214]



[[Page 61739]]

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Part III





Farm Credit Administration





_______________________________________________________________________



12 CFR Part 650



Federal Agricultural Mortgage Corporation; Risk-Based Capital 
Requirements; Proposed Rule

  Federal Register / Vol. 64, No. 218 / Friday, November 12, 1999 / 
Proposed Rules  

[[Page 61740]]



FARM CREDIT ADMINISTRATION

12 CFR Part 650

RIN 3052-AB56


Federal Agricultural Mortgage Corporation; Risk-Based Capital 
Requirements

AGENCY: Farm Credit Administration.

ACTION: Proposed rule.

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SUMMARY: This proposed rule amends Farm Credit Administration (FCA) 
regulations, through the Office of Secondary Market Oversight (OSMO), 
by establishing risk-based capital requirements for the Federal 
Agricultural Mortgage Corporation (Corporation or Farmer Mac). The 
proposed regulations: Set forth the risk-based capital rules for Farmer 
Mac, including definitions, methods, parameters and guidelines for 
developing and implementing the risk-based capital stress test; specify 
capital calculation, reporting, and compliance requirements; delineate 
our monitoring, examination, supervisory, and enforcement activities; 
and, prescribe certain policy requirements for business and capital 
planning.

DATES: Please send your comments to us by March 13, 2000.

ADDRESSES: You may mail or deliver written comments to Carl A. 
Clinefelter, Director, Office of Secondary Market Oversight, Farm 
Credit Administration, 1501 Farm Credit Drive, McLean, Virginia 22102-
5090, or send them by facsimile transmission to (703) 734-5784. You may 
also send comments via electronic mail to ``[email protected]'' or 
through the Pending Regulations section of our website at 
``www.fca.gov.'' You may review copies of all comments we receive in 
the Office of Policy and Analysis, Farm Credit Administration.

FOR FURTHER INFORMATION CONTACT:

Carl A. Clinefelter, Director, Office of Secondary Market Oversight, 
Farm Credit Administration, McLean, VA 22102-5090, (703) 883-4280, TDD 
(703) 883-4444, or Dennis K. Carpenter, Senior Policy Analyst, Office 
of Policy and Analysis, Farm Credit Administration, McLean, VA 22102-
5090, (703) 883-4498, TDD (703) 883-4444,

or

Joy Strickland, Senior Attorney, Office of General Counsel, Farm Credit 
Administration, McLean, VA 22102-5090, (703) 883-4020, TDD (703) 883-
4444.

SUPPLEMENTARY INFORMATION:

I. Objective

    The purpose of this proposed regulation is to establish a risk-
based capital stress test for the Corporation as required by section 
8.32 of the Farm Credit Act of 1971, as amended (Pub. L. 92-181)(Act). 
Section 8.32 of the Act requires us to establish a risk-based capital 
stress test that will determine the level of regulatory capital \1\ 
necessary for the Corporation to maintain positive capital during a 10-
year period where stressful credit and interest rate conditions occur. 
The proposed rule contains specific information on the structure of the 
risk-based capital stress test, including guidelines for its 
implementation, monitoring, reporting and examination. The rule also 
includes requirements for business and capital planning. The guidelines 
and procedures for implementation of the stress test are available to 
the public through the proposed regulation, technical appendix to part 
650, subpart B, and an electronic version of the risk-based capital 
stress test (spreadsheet-based) that is available on our website 
``www.fca.gov'' or on written request. The technical appendix contains 
details on how to construct the risk-based capital stress test, 
including basic assumptions used in the test.
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    \1\ ``Regulatory capital'' is defined in section 8.31(5) of the 
Act as core capital plus an allowance for losses and guarantee 
claims (in accordance with generally accepted accounting principles 
(GAAP)). For the purposes of this definition, regulatory capital 
includes any allowance or reserve accounts that Farmer Mac maintains 
for losses on loans that are held in portfolio and for losses on 
securities it has guaranteed, particularly, reserves required by 
section 8.10 of the Act.
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II. Farmer Mac Organization

    Farmer Mac is a federally chartered instrumentality of the United 
States (U.S.) established on January 6, 1988 by the Agricultural Credit 
Act of 1987 (Pub. L. 100-233)(1987 Act), which amended the Act. The 
Corporation's status as a Government-sponsored enterprise (GSE) 
requires it to fulfill the public policy mission of providing a 
secondary market for agricultural real estate loans. The Corporation is 
charged with increasing liquidity to rural lenders, increasing 
available long-term credit to farmers and ranchers at stable interest 
rates, and enhancing the ability of individuals in rural communities to 
get financing for moderately priced homes. Congress established the 
Corporation as part of its efforts to resolve the agricultural crisis 
of the 1980s. Congress believed that a secondary market for 
agricultural mortgages would increase available mortgage credit to 
America's farmers, ranchers and rural homeowners. Farmer Mac serves 
this role mainly by buying and securitizing ``qualified loans'' \2\ 
from lenders, thereby restoring the lenders' availability of funds to 
make new loans. Although created by Congress, Farmer Mac is privately 
owned with its common stock publicly traded on the New York Stock 
Exchange.
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    \2\ A qualified loan is a loan secured by a first lien, fee 
simple mortgage or a long-term leasehold mortgage on agricultural 
real estate or rural housing that is located in the U.S. 
Agricultural real estate is defined by Farmer Mac as a parcel or 
parcels of land, which may be improved by buildings or other 
structures permanently affixed to the parcel or parcels, that (1) 
Are used for the production of one or more agricultural commodities, 
and (2) consist of a minimum of five acres or are used in the 
production of agricultural receipts of at least $5,000. In 
accordance with the Act, the maximum principal amount of a qualified 
loan secured by agricultural real estate is indexed to inflation and 
currently is $3.49 million, unless the loan is secured by 1,000 
acres or less, in which case the maximum loan size is set by Farmer 
Mac at $6.0 million.
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III. Corporation Authorities and Statutory Requirements for Risk-
Based Capital

    Farmer Mac's statutory authority, which was established under title 
VIII of the Act, has been substantively amended three times since its 
origination in 1988 (i.e., 1990, 1991, and 1996). The 1990 amendments 
authorized the Farmer Mac II program at the request of the United 
States Department of Agriculture (USDA). The 1991 amendments authorized 
the Farmer Mac linked portfolio program.\3\ The 1991 amendments created 
OSMO and established the FCA, acting through OSMO, as the regulator of 
Farmer Mac. The 1991 amendments also set forth definitions for core 
capital \4\ and regulatory capital. The 1991 amendments also 
established minimum

[[Page 61741]]

capital \5\ and critical capital \6\ levels and required us to 
establish risk-based capital requirements for Farmer Mac.
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    \3\ The linked portfolio authority allows Farmer Mac to purchase 
guaranteed securities that have been issued by Farmer Mac or another 
authorized issuer and hold the securities indefinitely in its 
portfolio.
    \4\ ``Core Capital'' is defined in section 8.31(2) of the Act as 
the sum (as determined in accordance with GAAP) of: (1) The par 
value of outstanding common stock; (2) the par value of outstanding 
preferred stock; (3) paid-in capital; and (4) retained earnings.
    \5\ The Corporation's ``minimum capital'' requirements are 
described under section 8.33 of the Act. The minimum capital level 
for the Corporation is an amount of core capital equal to the sum 
of: (1) 2.75 percent of the aggregate on-balance sheet assets of the 
Corporation, as determined in accordance with GAAP; and (2) 0.75 
percent of the aggregate off-balance sheet obligations of the 
Corporation which include: (a) The unpaid principal balance of 
outstanding securities that are guaranteed by the Corporation and 
backed by pools of qualified loans; (b) instruments that are issued 
or guaranteed by the Corporation and are substantially equivalent to 
(a); and (c) other off-balance sheet obligations. These minimum 
statutory capital standards will continue in effect after the risk-
based capital rule becomes effective.
    \6\ The Corporation's ``critical capital level'' is described in 
section 8.34 of the Act. The critical capital level for the 
Corporation is an amount of core capital equal to 50 percent of the 
total minimum capital amount determined under section 8.33 of the 
Act.
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    The 1996 amendments served to streamline Farmer Mac's operating 
structure to be more competitive. Specifically, and most importantly, 
Farmer Mac was allowed to buy loans directly from lenders and issue 
guaranteed securities representing 100 percent of the principal of the 
purchased loans. This amendment removed the previous requirement for 
poolers to hold at least a 10-percent subordinated interest against 
loan losses on pools of loans securitized by Farmer Mac.
    The Food, Agriculture, Conservation, and Trade Act Amendments of 
1991 (Pub. L. 102-237)(1991 Act) required us to develop and issue a 
risk-based capital stress test for the Corporation. The Farm Credit 
System Reform Act of 1996 (Pub. L. 104-105)(1996 Act) further amended 
the Act by prohibiting us from establishing a risk-based capital stress 
test prior to February 10, 1999, 3 years following the effective date 
of the 1996 Act. The risk-based capital stress test required by the 
1991 Act determines the amount of capital necessary for the Corporation 
to preserve positive capital while undergoing stressful credit and 
interest rate risk conditions during a 10-year period. The 1991 Act 
also required an added amount of capital to cover management and 
operational risk.
    Section 8.32 of the Act requires that the risk-based capital stress 
test subject the Corporation to credit losses on agricultural mortgages 
it owns or guarantees. The frequency of loan default and severity of 
losses must be reasonably related to a ``benchmark'' with the highest 
rate of default and severity of agricultural mortgage losses 
experienced during a historical period of at least 2 consecutive years. 
The credit losses also must be related to those experienced in 
contiguous areas of the U.S. containing at least 5 percent of the total 
U.S. population. The establishment of the benchmark loss experience is 
more fully discussed later in this preamble.
    The 1991 Act also required us to incorporate in the risk-based 
capital stress test an interest rate risk stress scenario based on 
rising and falling interest rates on Treasury obligations of various 
terms. Under the interest rate stress scenario, current rates on 
Treasury obligations are instantaneously shocked up and down. For the 
first 12 months of the 10-year stress period, rates either increase or 
decrease by: (1) 50 percent of the average rates on various Treasury 
obligations during the 12-month period preceding the stress period, or 
(2) 600 basis point (bp), whichever is less. The rates must remain at 
the increased or decreased level for the remainder of the 10-year 
stress period.
    In addition to the risk-based capital level required as a result of 
the credit loss and interest rate change components of the risk-based 
capital stress test, Farmer Mac is required to maintain additional 
capital to protect against management and operational risk. This 
additional capital level is specified in the Act to be 30 percent of 
the capital level required for the sum of the credit loss and interest 
rate change components of the risk-based capital stress test.
    In developing the risk-based capital stress test, the Act permits 
us to take into account appropriate distinctions relative to various 
types of agricultural mortgage products, varying terms of Treasury 
obligations, and any other factors considered appropriate. We may also 
consider credit loss protection provided by retained subordinated 
participation interests, which were required for guaranteed securities 
under section 8.6(b)(2) of the Act prior to the enactment of the 1996 
Act.\7\ The 1991 Act does not require a specific adjustment for any of 
these factors, but allows us to determine how best to account for them. 
Unlike the risk-based capital stress tests applicable to other GSEs, 
the 1991 Act does not contain specific requirements for addressing new 
business and other corporate activities during the stress period, 
including growth, product types, and pricing.\8\
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    \7\ Section 8.32 of the Act states that we must also conform 
loan loss data to the geographic and commodity diversification 
standards that the Corporation loan pools had to meet based on 
provisions of the 1991 Act. Because the geographic and commodity 
diversification requirement was eliminated in the 1996 Act, this 
consideration is no longer applicable.
    \8\ See 12 U.S.C. 4611(a)(3).
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    Our risk-based capital regulations must contain specific 
information on the requirements, definitions, methods and parameters 
used in implementing the risk-based capital stress test in order to 
enable others to apply the test in a similar manner. Finally, we must 
ultimately make available to the public any statistical model used to 
implement the risk-based capital stress test.

IV. Philosophy and Development of the Risk-Based Capital Stress 
Test

    The principal objective of the risk-based capital standard is to 
ensure that Farmer Mac has sufficient capital to remain solvent in the 
face of extreme economic conditions. We believe that effective capital 
standards should also permit Farmer Mac to fulfill its public policy 
mission while pursuing prudent business practices and strategies.
    Although the risk-based capital stress test can produce a single 
capital requirement, it effectively creates marginal capital 
requirements, that is, incremental requirements based on the riskiness 
of each additional dollar of business for every type of product that 
Farmer Mac guarantees or holds in its portfolio. Marginal capital 
requirements for mortgages held in portfolio will vary depending on the 
interest rate and credit risk associated with the mortgages as well as 
the Farmer Mac's funding strategy. These marginal capital requirements 
may have significant bearing on how Farmer Mac implements its business 
strategies.
    We developed the risk-based capital stress test to closely reflect 
the risks inherent in Farmer Mac's various business activities. We 
incorporated, to the extent permitted by the Act, consistent 
relationships between the economic environment of the stress period and 
Farmer Mac's business activities. This required modeling Farmer Mac's 
assets, liabilities, and off-balance sheet positions at a sufficient 
level of detail to capture their various risk characteristics.
    Our philosophy guiding the development of the risk-based capital 
stress test was that it should:
     Be consistent with the requirements of the statute, i.e., 
it should reflect worst-case credit conditions and interest rate 
movements, as defined in the Act;
     Reflect Farmer Mac's regulatory capital needs for credit 
and interest rate risks measured under stressful conditions;
     Be internally consistent;

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     Not create inappropriate economic incentives;
     Aim for simplicity; and
     Reflect, to the extent practical and meaningful, Farmer 
Mac's current operating policies and practices.
    In developing the risk-based capital regulations, we also compared 
our statutory requirements with the Basle Accord risk-based capital 
framework. Although the current Basle Accord and our risk-based capital 
framework significantly differ, both strive to equate risk with an 
appropriate capital requirement. We note that the proposed direction of 
the Basle Committee suggests an increasing reliance and acceptance of 
econometric and statistical models for measuring credit and market risk 
and allocating capital.\9\ Additionally, we both advocate that 
proactive regulatory measures, such as our risk-based capital stress 
test, should be complemented by effective monitoring, supervision, and 
examination. For these reasons, we believe our risk-based capital 
framework is consistent with the current opinions of the Basle 
Committee.
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    \9\ A New Capital Adequacy Framework is a consultative paper 
issued by the Basle Committee on Banking Supervision. A copy of this 
paper can be found at www.bis.org.
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    In developing the risk-based capital stress test, we engaged in 
three distinct activities that vary in complexity and time horizons:
     Identification of the benchmark loss experience;
     Construction of the risk-based capital stress test; and
     Examination and oversight.

A. Identification of the Benchmark Loss Experience

    Our first initiative was to identify the worst-case historical loss 
experience as required by the Act. We published our results for comment 
in the Federal Register on July 28, 1998 (63 FR 40282). This study 
entitled, ``Risk-based Capital Regulations for Farmer Mac: Loan Loss 
Estimation Procedures,'' is available through our website at 
(www.fca.gov/pubs/farmmac). The study was prepared by Barry & 
Associates,\10\ consultants who also assisted us in all facets of 
development of the risk-based capital stress test. The following is a 
brief summary of our efforts to locate agricultural mortgage loan data 
and identify the worst-case loss rates to serve as a benchmark for the 
loss rates used in the risk-based capital stress test.
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    \10\ Barry & Associates is a consulting group that conducts 
research and education projects in agricultural finance on behalf of 
industry, policy, and non-profit organizations. Projects have 
included analyses of capital regulations for financial institutions, 
insurance modeling, risk pricing of loans, community banks' access 
to agency market funds, and Farm Bill changes. Principal members of 
Barry & Associates are Peter Barry (Managing Partner), Bruce 
Sherrick, Paul Ellinger, and Del Banner. Each of these members is 
affiliated with the Center for Farm and Rural Business Finance at 
the University of Illinois, Urbana-Champaign.
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1. Available Loan Data
    We were unable to use Farmer Mac loan data for establishing the 
benchmark loss experience because Farmer Mac is a relatively new 
enterprise and did not have historical data. Therefore, we searched for 
other possible data sources, including the Economic Research Service 
(ERS) of the USDA, commercial banks, life insurance companies, and 
System banks. After an exhaustive search, we identified the Farm Credit 
Bank of Texas (FCBT) and the former Farm Credit Bank of St. Paul 
(FCBSP) as the only data sources with available historic loan-level 
performance data on Farmer Mac-eligible loans that satisfied the 
statutory provisions.
    After an extensive evaluation of the available data, we concluded 
that the FCBT had the most relevant data available for developing a 
benchmark loss experience for use in a risk-based capital stress test. 
Data from the FCBT is the most useful available for determining 
benchmark losses because losses were taken expeditiously as charge-offs 
and are thus clearly measurable. In contrast, although the FCBSP 
experienced substantial financial distress during the 1980s, charge-off 
rates were relatively low due to the FCBSP's strategy of forbearance 
and restructuring of problem loans. Thus, the FCBSP experienced most of 
its financial stress through reduced earnings on loans and increased 
servicing costs. This stress is more difficult to measure in the form 
of loan default rates and severity of defaults, which the statute 
requires us to measure. Also, we proposed to use only the FCBT loans 
that would have met the Farmer Mac underwriting standards that were in 
place at loan origination because non-conforming loans could present 
significantly different credit, market, and institutional risks.
2. Identification of Worst-Case Losses
    According to the USDA, Texas ranked fourth among the 50 states in 
terms of farm financial stress in the 1980s. In addition, our 
experience with the System banks indicates that the FCBT did not 
experience the worst historical losses on agricultural real estate 
mortgages. Therefore, the only usable loan data we were able to 
identify, the FCBT data, did not represent the worst-case agricultural 
mortgage loss experience. We, thus, found it necessary to consider how 
Texas loss rates related to other states and regions for determining 
worst-case loss experience.
    We employed a statistical procedure to expand the loan loss rates 
for the FCBT to estimate loss rates for other states and regions of the 
U.S. This procedure is explained in detail in the study published for 
public comment. Briefly, the preferred regression equation identified 
by Barry & Associates was based on the relationship between FCBT loss 
rates and the annual percentage change in Texas farmland values over 
the next 2 years. This regression equation was used to estimate 
historical loss rates for every state from 1976 to 1993. Then a ranking 
was compiled of 2-year loss rates for contiguous regions representing 
at least 5 percent of the 1990 U.S. population. Our study concluded 
that the worst-case region was found to contain Minnesota, Iowa and 
Illinois during the 1983-1984 time period with a 2-year loan loss rate 
of 4.18 percent. This region represents 7.5 percent of the U.S. 
population. Our experience in overseeing FCS institutions with severe 
credit problems and high default rates during this period also points 
to the upper mid-west as the focal point of agricultural stress.
3. Use of the Benchmark Losses
    Following our identification of the worst-case benchmark loss rate, 
we began our development of the risk-based capital stress test. The Act 
requires that the risk-based capital stress test use losses that occur 
throughout the U.S. The identified losses are to be at a rate of 
default and severity ``reasonably related'' to the rate and severity 
that occurred for at least 2 years in contiguous areas of the U.S. 
containing not less than 5 percent of the U.S. population.
    The published study used loss rates extrapolated from the FCBT data 
to identify the worst-case region. The primary variable used in the 
extrapolation was the change in farmland values. However, we are not 
proposing to use the benchmark loss rate in the risk-based capital 
stress test. The extrapolation method used in the study was an 
appropriate method for estimating aggregate loss rates on agricultural 
mortgages. The method proposed here allows us to incorporate the 
current risk characteristics of Farmer Mac's portfolio, including loan-
level data, in addition to the farmland value changes for the worst-
stress time period. These loan-level risk characteristics include loan 
size, loan-to-value ratio (LTV), debt service coverage ratio

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(DSCR), and debt-to-asset (D/A) ratio. The statistical method proposed 
makes it easier for Farmer Mac to implement and for us to examine the 
results.
    Although we are not using the benchmark loss rate identified in the 
published study, we use the percentage changes in farmland values from 
the published study as a primary variable in estimating the loss rates 
used in the stress test. Using the farmland value changes from the 
published benchmark worst-case region of Minnesota, Iowa, and Illinois 
as input in the credit risk portion of the risk-based capital stress 
test is a direct linkage to the benchmark loss rate. The loss rates 
used in the risk-based capital stress test are closely related to the 
benchmark loss rate, because both are limited to changes in farmland 
values. The changes in farmland values identified in the published 
benchmark loss rate study are primary variables in the default equation 
used in the risk-based capital stress test. Changes in farmland values, 
as used in the risk-based capital stress test and the benchmark loss 
rate study, represent the combined effects of the level and growth 
rates of farm income, interest rates, and inflationary expectations. 
More detailed information on the procedure for calculating loss rates 
in the risk-based capital stress test is presented later in this 
supplementary information and in the technical appendix.
    4. Comments on the Benchmark Loss Report
    As noted earlier, in July 1998 we published a ``Notice of 
availability of study and request for comment'' on the loan loss study 
completed by Barry & Associates. (See 63 FR 40282, July 28, 1998.) 
Through the Notice, we made the results of the study available for 
public comment in expectation that it would lead to improved input for 
the credit risk component of the risk-based capital stress test. Due to 
the complexity of the study and the importance of the benchmark loss 
experience in the risk-based capital stress test, several parties 
requested that we extend the comment period on the Notice from 
September 15, 1998, to January 4, 1999, which we did.
    We received five letters on the study from a variety of interested 
parties. The commenters were Farmer Mac (2 letters), AgFirst Farm 
Credit Bank, the American Bankers Association, and the Independent 
Bankers Association of America (now the Independent Community Bankers 
of America). We have considered these comments in the development of 
this proposed risk-based capital regulation. Many of the comments were 
related to the benchmark loss rates that were identified rather than 
the loan loss data we used as the starting point or the land value 
changes we identified. Because we are not using the benchmark loss 
rates as the loss rates in the risk-based capital stress test, we do 
not believe that a detailed response to each comment is relevant in 
this supplementary information. Thus, we are providing a summary of, 
and our response to, the primary comments relevant to this proposed 
rule.
    First, the commenters stated that the statute does not permit 
extrapolation procedures in identifying the worst-case loss data. The 
commenters asserted that the statute required us to use as benchmark 
losses, the worst-case data that are available to us, i.e., the losses 
from the FCBT portfolio. We disagree with this interpretation of the 
statute. The statute directs us to use the worst-case data, not the 
worst-case data ``that are available.'' Congress directed us to use 
loan loss rates in the risk-based capital stress test that are 
reasonably related to the area of the U.S. that experienced the 
``highest rates of default and severity.'' Therefore, our first step 
was to determine the benchmark worst-case losses pursuant to this 
requirement.
    Second, the commenters stated that the study failed to account for 
appropriate credit risk distinctions between the historical FCBT data 
and Farmer Mac's current portfolio. We believe it was appropriate to 
use only those agricultural mortgages that would have been Farmer Mac-
eligible loans at the time the study was conducted so that the 
benchmark losses would reflect losses on relevant loans. We reviewed 
the process for selecting the screening criteria used in the study and 
found it to be appropriate given the underwriting data of Farmer Mac's 
portfolio, the statutory criteria for loan eligibility, and the 
limitations of the FCBT data set. We also reviewed the eligible loan 
set obtained from the FCBT data and determined that all variables were 
within the values found in Farmer Mac's current portfolio. Thus, we 
believe the data used for the benchmark study are appropriate. We also 
consider it appropriate to account for Farmer Mac's current portfolio 
risk factors in applying the loss rates in the risk-based capital 
stress test. Thus, we consider the current make-up of Farmer Mac's 
portfolio when we apply the loan loss default equation to determine the 
loss rates used in the risk-based capital stress test. Later 
discussions in this supplementary information and the technical 
appendix further explain how the risk characteristics of Farmer Mac's 
portfolio are incorporated in determining the loss rates used in the 
risk-based capital stress test.

B. Construction of the Statutory Stress Test

    Our second major undertaking was to develop a financial model to 
represent Farmer Mac's assets, liabilities and off-balance sheet 
positions at a sufficient level of detail to capture important risk 
characteristics and project Farmer Mac's financial performance over a 
hypothetical period of stress lasting 10 years. The focus of our 
efforts was to determine the appropriate parameters and economic 
relationships necessary for the risk-based capital stress test to 
fulfill the statutory requirements. To accomplish this task, we worked 
in consultation with Barry & Associates. Additionally, Farmer Mac and 
PriceWaterhouseCoopers provided information relative to loan data, 
Farmer Mac's operations, and economic relationships and statistical 
methodologies for use in measuring various types and levels of risk.
    A summary of the major components of the risk-based capital stress 
test is provided in a subsequent section of this preamble and the 
regulation. A more thorough discussion of all the technical aspects of 
the risk-based capital stress test can be found in the technical 
appendix to the proposed regulation. Due to the nature and complexity 
of the risk-based capital stress test, we are also making an electronic 
version of the risk-based capital stress test available to the public 
through our website at www.fca.gov.
    The proposed rule specifies the basic structure and parameters of 
the risk-based capital stress test and allows Farmer Mac to implement 
the stress test internally using a model built according to our 
specifications to determine its risk-based capital level. During the 1-
year period following adoption of the final risk-based capital 
regulation and on an ongoing basis thereafter, we will examine and 
verify Farmer Mac's implementation of the risk-based capital stress 
test to ensure compliance with the regulation, including the 
specifications identified in the technical appendix to the regulation. 
Furthermore, we are proposing that Farmer Mac have its implementation 
of the risk-based capital stress test verified and audited once every 3 
years by an external independent party. The audit should ensure that 
the financial data used in the stress test are accurate and that stress 
test is implemented in accordance with our regulations and procedures. 
We note that because of the proprietary nature of specific, transaction 
level loan and financial data used in the risk-based

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capital stress test, it is unlikely that results of the test will be 
fully reproducible by parties other than Farmer Mac and us. Other 
parties will, however, be able to approximate the test results on an 
aggregate basis using publicly available information.

C. Examination and Oversight

    From a regulatory perspective, the ongoing nature of the risk-based 
capital stress test facilitates our understanding of how changes in 
Farmer Mac's business activities will affect its risk profile and 
resulting capital requirements. A risk-based capital stress test, 
because it is based on statistical relationships, is limited in a 
number of important ways that must be understood before it can be used 
as an effective regulatory tool. Foremost, the risk-based capital 
stress test uses econometric relationships based on historical data to 
estimate potential loss rates. Past historical data, even though 
required by the statute, may not be the best basis for projecting the 
performance of new agricultural mortgages originated using a different 
set of underwriting criteria and subject to a different set of economic 
conditions. As a result, we may need a significant period of time to 
collect and analyze new data to appropriately update the risk-based 
capital stress test procedures. Furthermore, the effectiveness of the 
risk-based capital stress test may be influenced by changes in Farmer 
Mac's operations, underwriting standards or products and services 
offered. Lastly, the risk-based capital stress test best measures 
identifiable and quantifiable risks.
    Therefore, our ongoing monitoring and on-site examination will be 
integral in assessing Farmer Mac's capital adequacy. Our monitoring and 
examination program will help ensure that Farmer Mac appropriately 
implements the risk-based capital stress test and aid in identifying 
non-quantifiable risks that the risk-based capital stress test cannot 
measure. Together, the ongoing monitoring and examination by OSMO will 
enable us to provide effective regulatory oversight and ensure the 
adequacy of regulatory capital standard set by the risk-based capital 
stress test.

V. Risk-Based Capital Stress Test

    The risk-based capital stress test is intended to be forward-
looking and sensitive to fluctuations in the economy, as well as to 
changes in Farmer Mac's asset composition, funding strategies, and on- 
and off-balance sheet exposures. The risk-based capital level, unlike 
simple leverage ratios, is tailored to specific risks in Farmer Mac's 
book of business. In designing the risk-based capital stress test, we 
sought to identify and incorporate all significant credit and interest 
rate risks to which Farmer Mac is exposed.
    Given the risk-based capital stress test's sensitivity to changing 
risk conditions, the risk-based capital requirement bears no direct 
relationship to the statutory minimum capital requirements. Based on a 
Farmer Mac condition of relatively low risk exposure, the risk-based 
capital stress test could produce a risk-based capital requirement 
below that of the statutory minimum standard. When this occurs, Farmer 
Mac must continue to meet its statutory minimum capital level.
    Econometric models are used to project the effects of stressed 
conditions on Farmer Mac's assets, liabilities and off-balance sheet 
activities. The risk-based capital stress test will project credit 
losses from defaults on agricultural mortgages and loss severities 
comparable to the worst historical agricultural mortgage default loss 
experience in any region of the country.
    The risk-based capital stress test is designed to capture Farmer 
Mac's specific exposure to credit and interest rate risks under 
stressed conditions. Economic conditions of the stress scenario affect 
Farmer Mac's agricultural mortgage performance, earnings and market 
values, and ultimately required capital. For example, movement in 
farmland values, which reflect changes in farm income and interest 
rates, influence mortgage credit loss rates, which in turn affect 
Farmer Mac's cashflows and capital accretion or depletion. By requiring 
the risk-based capital stress test to be conducted on a quarterly 
basis, we will strive to identify changes in capital needs before such 
economic events as declining farmland values can impact Farmer Mac's 
balance sheet to any significant degree. Thus, the risk-based capital 
stress test is more dynamic than simple leverage ratios because the 
entire business profile of Farmer Mac from assets and liabilities to 
off-balance sheet obligations is modeled.
    The goal of the risk-based capital stress test is to align capital 
requirements with risk and avoid creating incentives for the 
Corporation to engage in inappropriately risky activities. The stress 
test approach also provides greater flexibility to meet regulatory 
requirements than is available in traditional capital requirements. For 
instance, the stress test approach recognizes risk-mitigating 
activities. As an example, Farmer Mac may meet its risk-based capital 
needs by reducing risk and/or increasing capital.
    Proposed Sec. 650.24 describes the main components of the risk-
based capital stress test that Farmer Mac must apply to its current 
operations. The technical appendix to the regulation provides details 
on the specification and estimation of the statistical (econometric) 
model used to project Farmer Mac performance over the 10-year stress 
period. Additionally, the technical appendix discusses how the 
statistical model is applied in the proposed risk-based capital stress 
test. The key stress test components, include data requirements, 
specifications of credit risk, interest rate movements, the cashflow 
generator, and the capital calculation.
    The following discussions provide a general overview of the risk-
based capital stress test components and explanation of the concepts 
underlying the stress test.

A. Data Requirements

    Historical loan data from the FCBT are used to determine 
appropriate relationships among mortgage-risk factors, rates of loan 
default and loss occurrence. Data on Farmer Mac's current book of 
business are used to establish Farmer Mac's initial balance sheet 
structure, financial position and risk profile for the start of the 
risk-based capital stress test. Current interest rate information as 
described in the technical appendix is needed for the interest rate 
component of the risk-based capital stress test.
    Farmer Mac will be required to provide additional information in 
its quarterly financial reports to us. Specific details regarding the 
new requirements will be provided through modifications to our Call 
Report instructions. Although we are allowing Farmer Mac the 
flexibility to determine its risk-based capital level and report its 
results to us, we believe it is essential for FCA to retain the 
capability to also determine Farmer Mac's risk-based capital level. 
Therefore, we intend to modify the current Call Report instructions to 
accommodate our data and information needs.

B. Farmer Mac Programs and Risk Characteristics

    Farmer Mac operates a variety of secondary market programs with 
varying amounts of risk to fulfill its mission. A brief description of 
these programs follows.

[[Page 61745]]

1. Farmer Mac I--Direct Loan Purchases
    Farmer Mac purchases from approved lenders\11\ qualified loans 
secured by a first mortgage on agricultural real estate, including 
part-time farms that meet specified credit standards. Farmer Mac 
provides liquidity to the agricultural mortgage market by: (1) 
Purchasing newly originated qualified loans directly from lenders on a 
continuing basis through its ``cash window''; (2) exchanging qualified 
loans for securities issued and guaranteed by Farmer Mac (Farmer Mac 
Guaranteed Securities) through ``swap'' transactions; and (3) 
purchasing portfolios of existing loans on a negotiated basis.\12\ 
Qualified loans purchased by Farmer Mac are aggregated into pools that 
back Farmer Mac Guaranteed Securities, which are periodically issued 
and sold to investors in the capital markets. Farmer Mac also has the 
authority to purchase these securities and hold them in its portfolio. 
Farmer Mac receives income from guarantee fees on securities it 
guarantees. Farmer Mac also receives interest income on securities it 
holds.
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    \11\ Approved lenders are financial institutions that have met 
Farmer Mac's technical, financial and stock ownership requirements.
    \12\ See Farmer Mac's 1998 Annual Report.
---------------------------------------------------------------------------

2. Farmer Mac I--Long-term Standby Purchase Commitment
    Under a standby purchase commitment agreement with the lender, 
Farmer Mac receives an annual fee in return for its commitment to 
purchase certain loans in the future. The lender services the loans and 
retains them on its books in a segregated pool. This program allows 
approved lenders to reduce credit risk and free capital to make 
additional loans.
3. Farmer Mac I--AgVantage Bond Sales
    AgVantage bonds are highly collateralized corporate debt issued by 
approved lenders to Farmer Mac, which in turn guarantees the bonds. The 
approved lenders pledge qualified loans and other securities (Treasury 
securities) as collateral, which are retained by the lenders. This 
program provides approved lenders with another means to fund qualified 
loans and generates revenue for Farmer Mac. Farmer Mac receives revenue 
in the form of interest income on AgVantage bonds.
4. Farmer Mac II
    Under Farmer Mac II, the Corporation purchases the portions of 
loans guaranteed by the USDA. The Food, Agriculture, Conservation, and 
Trade Act of 1990 (Pub. L. 101-624) (1990 Act) gives Farmer Mac the 
authority to operate a secondary market for certain USDA-guaranteed 
loans. The guaranteed portions of loans are pooled and securitized by 
Farmer Mac or other certified facilities. Farmer Mac then guarantees 
the repayment of the securities. Farmer Mac receives income from 
guarantee fees on securities it guarantees. Farmer Mac also receives 
interest income on securities it holds.
5. Farmer Mac--Rural Housing
    Home mortgages from lenders in rural areas and small communities 
are eligible for sale to Farmer Mac for pooling and securitization. 
Rural housing is defined by Farmer Mac as a one-to-four family, owner-
occupied principal residence that is a moderately priced dwelling 
located in a community having a population of 2,500 or fewer 
inhabitants; the dwelling (excluding the land to which it is affixed) 
cannot have a purchase price or current appraised value of more than 
$100,000 (adjusted annually for inflation). This figure is currently 
$133,000. In addition to the dwelling, a rural housing loan can be 
secured by land associated with the dwelling having an appraised value 
of no more than 50 percent of the total appraised value of the combined 
property. As of August 31, 1999, Farmer Mac had not issued any 
securities backed by rural home mortgages.
6. Risk Characteristics
    Farmer Mac's primary exposure to credit risk is the risk of loss 
resulting from the inability of borrowers to repay their mortgages. 
Farmer Mac is exposed to credit risk on the loans it holds or 
guarantees against default, as well as securities it guarantees. Farmer 
Mac guarantees the timely payment of principal, including any balloon 
payments, and interest on securities. Loans held or guaranteed by 
Farmer Mac can be divided into three groups: (1) Pre-1996 Act Farmer 
Mac I loans; (2) post-1996 Act Farmer Mac I loans; and (3) Farmer Mac 
II loans. Within these general groupings, Farmer Mac, as previously 
discussed, operates other programs. Each of these programs carries 
different amounts of credit risk that must be appropriately reflected 
in the credit risk component of the risk-based capital stress test.
    For pre-1996 Act loans, subordinated interests mitigate Farmer 
Mac's credit risk exposure. Before Farmer Mac incurs a credit loss, 
recourse must be taken against the subordinated interest. At December 
31, 1998, the subordinated interest of each outstanding security on 
pre-1996 Act Farmer Mac I loans was equal to or greater than 10 
percent. The 1996 Act eliminated the subordinated interest requirement. 
As a result, Farmer Mac assumes 100 percent of the credit risk exposure 
on the post-1996 Act Farmer Mac I loans. Farmer Mac mitigates the 
credit risk related to these loans through the application of its 
underwriting standards and by requiring collateral in the form of real 
estate. Farmer Mac's credit exposure on Farmer Mac II loans is covered 
by the ``full faith and credit'' of the U.S. Government by virtue of 
the USDA guarantee of the principal and interest on all guaranteed 
portions.
    There is very limited, if any, credit risk exposure on the pre-1996 
Act loans due to the subordinated interest, or on the Farmer Mac II 
loans because of the USDA guarantee. For this reason, we are not 
requiring Farmer Mac to project any credit losses on these programs 
during the stress period of the test. Farmer Mac's credit risk exposure 
on post-1996 Act Farmer Mac I loans is fully reflected in the risk-
based capital stress test. Farmer Mac I rural home loans are subject to 
the same loss rates as agricultural mortgages. Rural home loan loss 
rates are not computed independently given the lack of data and the 
fact that there is no outstanding loan volume held on the balance sheet 
or guaranteed.
    Farmer Mac is also exposed to institutional credit risk relating 
to: (1) Issuers of AgVantage bonds and other investments held by Farmer 
Mac; (2) sellers and servicers; and (3) interest-rate contract 
counterparties. We decided not to model these sources of institutional 
credit risk for several reasons. AgVantage bonds are general 
obligations of the AgVantage bond issuers and secured by collateral in 
an amount ranging from 120 percent to 150 percent of the bond amount. 
In addition to requiring collateral, Farmer Mac mitigates credit risk 
related to AgVantage bonds by evaluating and monitoring the financial 
condition of the AgVantage issuers. Farmer Mac manages institutional 
credit risk related to sellers and servicers by requiring such 
institutions to meet certain standards and by monitoring their 
financial condition and servicing performance. The credit risk inherent 
in the investment portfolio is mitigated by Farmer Mac's policy of 
investing in highly rated institutions and by establishing 
concentration limits, which reduce exposure to any one counterparty. 
Furthermore, the short-term nature of Farmer Mac's investment portfolio 
limits credit risk. Farmer Mac mitigates credit risk arising from 
interest-rate swaps by dealing only with counterparties with high 
credit ratings,

[[Page 61746]]

establishing and maintaining collateral requirements, and entering into 
netting agreements.
    We are proposing to capture Farmer Mac's institutional credit risk 
exposure through the 30-percent management and operations risk add-on 
required by the statute. At this time, we believe modeling 
institutional credit risk presents many challenges that would 
unnecessarily complicate the risk-based capital stress test. However, 
if Farmer Mac significantly increases its credit risk exposure in these 
areas through modifications to its current operating policies, we will 
reconsider how to best reflect institutional credit risk exposure in 
the risk-based capital stress test.
    Farmer Mac is also exposed to credit risk concentration in the 
mortgages it holds and guarantees. Farmer Mac's current policy is to 
limit its credit exposure in a particular geographic region or 
commodity to a percentage of total principal amount of all loans 
outstanding. Additionally, Farmer Mac employs more stringent 
underwriting criteria in regions with higher loan volume 
concentrations. Such underwriting criteria consider the credit quality 
of the loans in a particular geographic region or commodity based on 
the borrower's LTV, DSCR, equity-to-asset and working capital-to-
current asset ratios. The effectiveness of Farmer Mac's underwriting 
standards is specifically measured in the risk-based capital stress 
test through our model of loan losses as described more thoroughly in 
the next section as well as in the technical appendix.

C. Credit Risk

    A statistical methodology is used to model the stress conditions 
described in the statute. Econometric models are used to estimate the 
probability of mortgage defaults and the severity of loss under 
stressed conditions. Detailed instructions for measuring credit risk 
are provided in the technical appendix.
1. Estimation of Default.
    A logistic model is used to estimate the frequency of defaults from 
historical FCBT loan data. Logistic models are widely accepted as an 
appropriate methodology for modeling loan-level mortgage defaults. 
There are several well-known predictors of mortgage default, including 
loan age, payment burden, LTV, and interest rates. Additionally, there 
are other variables that are specific to farm mortgages, such as 
farmland prices, net farm income, commodity prices and the D/A ratio. 
These variables, in addition to a host of others, were considered in 
the process of modeling defaults of FCBT loans. After extensive 
statistical analyses, the final equation for estimating the frequency 
of default includes the following variables:
     Maximum decline in farmland values
     LTV ratio
     DSCR
     Original loan balance in 1997 dollars
     D/A ratio
    These variables have logical relationships to the incidence of loan 
default and loss.
    a. Farmland values. Changes in farmland prices are an important 
factor in the model because they directly affect the likelihood of 
mortgage defaults and the magnitude of potential losses. In estimating 
the default frequency equation, the largest annual percentage decline 
in farmland values resulted in the strongest relationship between an 
economic variable and default frequency. For stress test purposes, we 
used the largest decline in farmland values from the benchmark loss 
experience as an input variable.
    Because the lives of loans are unknown at origination and differ 
among loan observations, annual economic variables or annual changes 
throughout the life of the loan cannot be consistently applied across 
all loans. Economic variables need to be expressed in a form that can 
be applied to loans regardless of the life of the loan. For example, 
geometric average lifetime changes, minimum changes, or maximum changes 
could be considered. The maximum percentage decline in annual Texas 
farmland values resulted in the strongest relationship among economic 
variables considered in the estimated equation for default frequency.
    b. Loan-to-value Ratio. Another important variable known to drive 
defaults is the LTV ratio. LTV is equal to the loan amount divided by 
the appraised value of the underlying property. This variable is one of 
the primary underwriting ratios that Farmer Mac uses in its loan 
purchasing decisions. LTV indicates the relative safety of 
collateralized debt. Large equity investments represent a substantial 
incentive for a borrower to continue making mortgage payments to 
safeguard their equity position in their property. Furthermore, if an 
income problem does arise, lower LTVs provide a significant cushion for 
the borrower to sell the underlying asset at a price that is sufficient 
to cover accrued interest and the remaining outstanding principal. 
Conversely, high LTV loans are more likely to default.
    Ideally, an updated LTV could be calculated each year, which would 
take into account amortization and changes in property value. While we 
cannot obtain updates in the market value of the underlying collateral, 
the USDA Texas farmland value series could serve as a proxy for helping 
to update the denominator of the LTV. Since the amortization schedule 
of the FCBT data was not available, however, updating the numerator 
would require making payment assumptions as well. Rather than making 
additional assumptions, we opted to use LTV at origination.
    c. Debt Service Coverage Ratio. A key factor in our assessment of 
potential frequency of default is the DSCR of a loan at origination. 
The numerator in the DSCR is net income plus depreciation, interest on 
capital debt, capital lease payments, and net off-farm income less 
living expenses and income taxes. The denominator is the sum of the 
total annual debt service requirements. Loans with low DSCRs have a 
higher expected frequency of default because borrowers cannot be 
expected to fund losses indefinitely. Conversely, loans with high DSCRs 
have a lower likelihood of default because they have an excess cashflow 
buffer, which would have to erode before the borrower would experience 
losses and consider defaulting. This variable would ideally be updated 
over the term of the loan. However, because of data limitations and the 
cyclical nature of agricultural receipts, DSCR at origination is used 
as the variable.
    d. Origination Loan Balance. The beginning loan balance also proved 
to be a significant factor of default. We adjusted the origination loan 
balance for current constant dollars when we estimated the default 
equation and applied it to Farmer Mac's data. The base year we selected 
is 1997 and we adjusted the current dollars based on the consumer price 
index. It has been observed in the agricultural mortgage market that 
larger loans tend to have higher default rates. Liquidity constraints 
are the likely cause of this phenomenon. For a borrower who is 
experiencing financial difficulty, one of the alternatives is to sell 
the property and prepay the loan. Considering that there is relatively 
less demand for large farm properties, the owners of these properties 
may have difficulty in selling their properties in such an illiquid 
market. This inability to sell and then prepay eventually limits the 
farmers' alternatives to default.
    e. Debt-to-asset ratio. The D/A ratio at origination is the last 
explanatory variable used in the default frequency estimation model. 
The D/A ratio

[[Page 61747]]

indicates the borrower's total amount of financial leverage. This is an 
important factor in agricultural lending because agricultural producers 
typically have significant amounts of debt from operations in addition 
to farm real estate debt. Borrowers with high D/A ratios experience 
higher default rates because they have limited capacity to withstand 
adverse conditions.
2. Loss Severity
    Loss severity is a key element in the estimation of loan losses. 
Loss severity is defined as the total dollar amount of losses on a 
defaulted loan expressed as a percentage of origination loan balance. 
The loss severity rate is estimated with the same FCBT data employed in 
the estimation of defaults. To estimate loss severity, we searched for 
a significant statistical relationship between loss rate and various 
independent indicators in the FCBT loan-level data. We concluded, after 
extensive analysis, that the data set was insufficient to estimate an 
acceptable loss severity rate. As a result, the loss severity rate is 
calculated by taking the weighted average loss of defaulted loans. The 
resulting loss severity rate is 20.9 percent. When a more extensive 
data set becomes available, loss severity can be re-estimated.
3. Age Adjustment
    Mortgage seasoning (aging) is widely accepted as an important 
determinant in default frequency. The probability of default is low in 
the early life of a loan and increases as the loan ages until it peaks 
in years 6 to 8. After this peak period, the borrower has developed 
greater equity in the property and the likelihood of default tapers 
off. Therefore, we adjust loan-level loss to reflect the differences in 
loss occurrence attributed to loan seasoning. We used FCBT data to 
estimate the distribution function for loan seasoning assuming that the 
loans have a 14-year average life.
4. Time Pattern of Loss Occurrence
    The age-adjusted losses are then distributed through time on a 
deterministic path that is representative of a stressful scenario. The 
loss rates estimated in the credit risk component of the risk-based 
capital stress test are based on an origination year concept. Under 
this approach, all losses arising from loans originated in a particular 
year are expressed as a percent of that year's originated loan volume 
irrespective of when the losses actually occur. The stress test must 
adjust the origination loss rates to an exposure year concept, in which 
losses occurring in any 1 year are related to the total outstanding 
loan volume in that year. Because all loans held at any time are not 
all originated in that year (or, conversely, loan principal balances 
are reflected on more than 1 year's balance sheet), the origination 
year loss rates must be adjusted to exposure year rates. To adjust from 
origination to exposure year losses, we apply a deterministic time path 
for loss occurrence during the 10-year stress period. The deterministic 
time path for converting from origination year to exposure year was 
determined by calculating exposure year losses in the FCBT data and 
expressing such losses as proportions of total losses for each 
origination year. The maximum 1-, 2-, 3-, and 4-year commutative 
proportions of total origination loss observed in the FCBT data are 
used in the first four periods of the stress test. The remaining losses 
are equally allocated to years 5 through 10 of the stress test.

D. Interest Rate Risk

    The statute requires the risk-based capital stress test to 
incorporate an interest rate risk component. Interest rate risk is the 
risk that interest rate changes could materially affect Farmer Mac's 
market value of equity and future earnings. Farmer Mac may be exposed 
to interest rate risk through any product or activity that is sensitive 
to changes in interest rates. Farmer Mac is exposed to three primary 
sources of interest rate risk: (1) Farmer Mac I and Farmer II 
securities; (2) other assets held for investment; and (3) loans held 
for securitization.
    Farmer Mac's primary strategy to manage interest rate risk related 
to Farmer Mac I and II securities and other assets held for investment 
is to fund them with liabilities that have similar durations or average 
cashflow patterns over time.\13\ To achieve the desired liability 
duration, Farmer Mac uses a mix of short-term discount notes and 
callable and non-callable medium term notes. By using a mix of 
liabilities that includes callable debt, the duration of the 
liabilities will tend to increase or decrease as interest rates change 
in a manner similar to the changes in the duration of assets. Farmer 
Mac also uses a variety of off-balance sheet derivative financial 
instruments to manage its interest rate risk exposure.
---------------------------------------------------------------------------

    \13\ See Farmer Mac's 1998 Annual Report.
---------------------------------------------------------------------------

    The Treasury yield curve represents the market's view of risk-free 
borrowing over a range of maturities. As such, it serves as a 
foundation for all other market rates. In the context of the risk-based 
capital stress test, the general level of interest rates will directly 
affect major components of Farmer Mac's business, including borrowing 
costs and earnings on mortgages and investments.
    The statute specifically describes how Treasury rates must vary 
during the 10-year risk-based capital stress test period. While the Act 
provides a fairly specific description of how rates change in the 
stress scenario, it is silent on how we are to measure the financial 
effect of those rate changes. Accordingly, we are proposing the 
following procedures for implementing the statutory stress test and 
measuring Farmer Mac's exposure to interest rate risk.
    Measurement of Farmer Mac's interest rate risk exposure requires 
the ability to estimate the sensitivity of the Corporation's assets and 
liabilities to interest rate risk. Vulnerability to interest rate risk 
is expressed through the degree of match between an institution's rate 
sensitive assets and liabilities, or between the durations of its 
assets and liabilities. More closely matched positions reduce the 
vulnerability to interest rate risk. By determining its duration gap, 
as measured by the difference between the duration of assets and 
liabilities under various parallel and instantaneous shifts in the 
yield curve, Farmer Mac can assess the potential effects of mismatches 
between the durations of its assets and liabilities. Farmer Mac derives 
its interest rate sensitivity measures using a commercially developed 
model, current market information, and other proprietary information.
    We are proposing to use Farmer Mac's duration measures as inputs 
into the stress test to capture the cumulative effects of the 
Corporation's interest rate risk exposure under the interest rate shock 
scenarios required by the Act. We have two reasons for using this 
approach. One, we routinely assess Farmer Mac's interest rate risk 
measurement and management through our examination process. During this 
process, we closely evaluate the assumptions and inputs used in Farmer 
Mac's interest rate risk sensitivity measures. Therefore, we can 
validate the process and obtain the necessary confidence in the 
accuracy and integrity of the results to permit us to use them as 
inputs into the stress test. Our second reason for using Farmer Mac's 
internal duration measures is that it reduces the complexity of the 
stress test, thereby increasing the efficiency in implementing the 
model.
    To estimate the effects of the interest rate shocks (up and down 
scenarios) on Farmer Mac's equity position, we compute effective 
duration over each

[[Page 61748]]

interest rate shock scenario using information supplied by Farmer Mac. 
The duration measure is then used as a proxy for market value effects 
under each interest rate scenario. We consider Farmer Mac's assets and 
liabilities to be available for sale under GAAP. Thus, Farmer Mac must 
record changes in market values as increases or decreases to equity on 
its balance sheet. Finally, Farmer Mac must determine its risk-based 
capital level based on the rate movement (increase or decrease) that 
results in the highest level of required capital.
    As noted, Farmer Mac is subject to interest rate risk on all assets 
held for investment because of the timing differences in the cashflows 
of the assets and related liabilities. This risk is primarily related 
to Farmer Mac I and II securities because of the ability of borrowers 
to repay their mortgages. Mortgage prepayments can cause fluctuations 
in the value of Farmer Mac securities to the extent they change 
cashflows of Farmer Mac's on- and off-balance sheet assets. Yield 
maintenance provisions associated with many of the loans underlying 
Farmer Mac securities significantly reduce, but do not eliminate, this 
risk.\14\
---------------------------------------------------------------------------

    \14\ Yield maintenance provisions require borrowers to make an 
additional payment to Farmer Mac when they repay their loans.
---------------------------------------------------------------------------

    Although the effects of increasing and decreasing prepayments are 
captured in Farmer Mac's market value results, we are also proposing to 
use prepayment rates as input variables for generating balance sheet 
cashflows. We provide Farmer Mac the option to use their actual 
prepayment experience or assumed prepayment rates estimated from other 
data sources for the reasons explained below.
    Prepayment rates often are estimated statistically by measuring 
relationships between prepayment and a set of independent variables 
that have been found to influence the prepayment rate. For several 
reasons, however, statistical relationships were not feasible to 
estimate in this case. During the historic time period in which the 
FCBT data were compiled, the FCBT priced its farm real estate loans 
with floating interest rates that adjusted annually in response to 
changes in the FCBT's average cost of funds. The resulting loan rates 
followed changes in market rates but with slower and lower rates of 
change. Because Farmer Mac does not engage in average cost pricing, 
estimating a prepayment function from the FCBT data would bear little, 
if any, relationship to prepayment rates experienced by Farmer Mac in 
the future. Moreover, an explicit or implicit prepayment measure was 
not available or obtainable from the FCBT data.\15\
---------------------------------------------------------------------------

    \15\ The FCBT data set has a ``status'' variable that indicates 
whether the loan was active, foreclosed, re-amortized, paid in full 
or merged with a new loan.
---------------------------------------------------------------------------

    Implementation of the interest rate shock requires several steps. 
The statutory interest rate shock is applied to the initial interest 
rate level, which is the preceding 3-month average of the 10-year 
Constant Maturity Treasury (CMT) rate. The 10-year CMT is frequently 
used for financial modeling of GSEs \16\ since it is viewed as a good 
index for the cost of funds. Previous studies by Barry & Associates 
found the 10-year CMT to be a reliable index for System funding costs, 
and the 10-year CMT did not suffer random or unexplainable variations 
observed at shorter-term points on the yield curve. Thus, using a 3-
month average avoids the possibility of unusual and extreme short-term 
movements in interest rates unduly influencing the results of the test 
and Farmer Mac's risk-based capital requirement. The interest rates 
resulting after the rate shock serve as the index needed to simulate 
mortgage and investment performance over the stress period and to 
calculate the risk-based capital level. Because many different interest 
rates affect Farmer Mac's business performance, we allow the use of 
other non-Treasury yield curves to simulate the financial effects of 
the interest rate shock on Farmer Mac's cashflows, income statement, 
and balance sheet.
---------------------------------------------------------------------------

    \16\ The Office of Federal Housing Enterprise Oversight also 
used the 10-year CMT as a component of their previously published 
proposed risk-based capital rule. (See 64 FR 18083, April 13, 1999.)
---------------------------------------------------------------------------

    Subject to our concurrence, Farmer Mac may use additional indexes, 
such as the London Interbank Offer Rates (LIBOR), in the risk-based 
capital test as long as the relationships between those indexes and the 
10-year CMT are based on standard, widely used term structure modeling 
relationships. Farmer Mac may use these relationships to compute the 
cost of new debt, yields on investments, and coupon rates on mortgages 
purchased or guaranteed by Farmer Mac. The interest rate index and rate 
shock procedures described in the technical appendix are minimum 
guidelines, and although Farmer Mac can use additional indexes, the 
resulting risk-based capital level cannot be lower than it would be if 
only the 10-year CMT were used.

E. Cashflows

    Our spreadsheet based model projects cashflows from all of Farmer 
Mac's assets, liabilities and off-balance sheet activities. Farmer Mac 
may use its own internal cashflow generator system and programming for 
this aspect of the risk-based capital stress test. However, Farmer Mac 
must first obtain our concurrence for any internal cashflow generator 
system and follow the procedures described in the technical appendix to 
this regulation.
    There are numerous modeling constructs and assumptions used in the 
proposed cashflow component of the stress test. For the test, 
investments are aggregated into the following categories: (i) Cash and 
money market securities; (ii) commercial paper; (iii) certificates of 
deposit; (iv) Agency mortgage-backed securities and collateralized 
mortgage obligations; (v) and other investments. With our concurrence, 
Farmer Mac is permitted to more finely disaggregate these categories. 
Any new category deemed material to its operation in the future will 
also be required to be added as a separate account. The level of 
aggregation must appropriately reflect the contributions of revenues 
and expenses of major program activities. For each asset class, we must 
be able to discern the earnings rate and funding cost. Loan items 
requiring separate accounts include: (i) Farmer Mac I program assets, 
post-1996 Act; (ii) Farmer Mac I post-1996 Act swap balances; (iii) 
Farmer Mac I pre-1996 Act loans; (iv) Farmer Mac I AgVantage 
securities; (v) loans held for securitization; and (vi) Farmer Mac II 
loans.
    During the stress test, the balance sheet remains a constant size 
over the 10-year period. This reflects a steady state scenario, meaning 
that when on-balance sheet assets and liabilities and off-balance sheet 
obligations amortize or pay-down, they are replaced with similar 
assets, liabilities, and obligations. However, as discontinued loan 
programs (e.g., pre-1996 Act Farmer Mac I program) amortize, they are 
assumed to be replaced by current loan programs to more appropriately 
reflect Farmer Mac's current operations.
    We use effective years to maturity to simulate the amortization of 
financial instruments, such as loans and other investments. A constant 
prepayment rate (CPR) is used for all assets that have embedded 
prepayment options. Together, the effective years to maturity and the 
CPR are used to establish a roll-off rate and generate cashflows 
reflecting a steady state over the stress

[[Page 61749]]

period. All cashflows and losses are computed on an annual basis.
    To construct pro forma income statements for each period of the 
stress test, it is necessary to establish rules and relationships for 
deriving future income and expense items. Information from the first 
period balance sheet is used in conjunction with the earnings and cost-
spread relationships from Farmer Mac supplied data to generate the 
first period's income statement. In our spreadsheet model, each 
investment account, loan item, and liability account can be specified 
as either: (i) A fixed rate investment; or (ii) an instrument with a 
fixed spread to Treasury with initial rates determined by actual data. 
The specific spreads (weighted average yield less initial 10-year CMT) 
by category are calculated directly in the stress test from the 
weighted average yield data supplied by Farmer Mac in accordance with 
the data requirements described in the technical appendix.
    For non-interest income items, we follow certain decision rules for 
generating earnings over time. For example, gains on agricultural 
mortgage-backed security (AMBS) sales are a function of the amount of 
new AMBS being issued. We based the relationship on historical 
financial information. Expense items, such as fixed cost and variable 
cost, are measured using a regression equation where operating expenses 
is the dependent variable and the sum of investments and Farmer Mac 
program assets held on-balance sheet is the independent variable. We 
use the historical relationship of reserves to loan assets (that are 
subject to reserves, post-1996 Act Farmer Mac I loan items, on- and 
off-balance sheet) to simulate the loan reserves over time. The 
corporate tax rate is estimated from actual Farmer Mac financial data. 
Guarantee fee rates are obtained from actual guarantee fees charged by 
Farmer Mac on its loan programs.

F. Financial Reports

    Pro forma financial statements showing the resulting capital levels 
for each period of the stress test are developed. Annual pro forma 
balance sheets and income statements are generated for the stress 
period using Farmer Mac's starting position, the stress conditions, 
resulting cashflow outputs, and current operating strategies and 
policies, as well as other assumptions. The proposed regulation 
provides Farmer Mac with the option to use its own financial software 
to produce the projected financial statements using the risk-based 
capital stress test specifications and parameters described in the 
technical appendix to this regulation. Projected financial statements 
must comply, to the extent practical, with GAAP.

G. Capital Calculation

    The risk-based capital stress test determines the amount of 
starting capital Farmer Mac must hold to maintain a positive amount of 
capital throughout the stress period using an iterative methodology. 
Also, Farmer Mac must add on an additional 30 percent to this amount to 
account for management and operational risk. Section 8.31(5) of the Act 
defines regulatory capital as core capital (the par value of 
outstanding common and preferred stock, paid-in capital, and retained 
earnings), plus the allowance for losses and guarantee claims, as 
determined in accordance with GAAP.
    More specifically, to calculate the risk-based capital, our model 
includes a section to solve for the minimum initial capital amount that 
results in at least zero capital at the end of each period of the 10-
year stress test. In solving for initial capital, it is assumed that 
reductions or additions to the initial capital accounts are made in the 
retained earnings accounts and are balanced in the debt accounts at 
levels proportionate to initial balances (same relative proportion of 
long- and short-term debt as existing initial proportions). Because the 
initial capital position affects the earnings, and hence capital 
positions and appropriate discount rates through time, the initial and 
future capital are simultaneously determined and must be solved using 
an iterative process.

H. Future Changes to the Stress Test

    Farmer Mac's performance over the stress period reflects its 
current operating policies and other assumptions about its operations 
to make the model functional. Due to significant data limitations 
relating to a variety of issues, we were required to make a number of 
simplifying assumptions. We recognize this may require us to revisit a 
number of issues, particularly as more data become available from 
Farmer Mac's own operations. Therefore, we will continually monitor the 
risk-based capital stress test results and consider whether 
modifications to the risk-based capital stress test are warranted. In 
particular, we anticipate that as more data from agricultural mortgage 
losses, especially those loans currently securitized by the Corporation 
become available, changes may be required in the risk-based capital 
stress test through amendment of this subpart.
    Through our ongoing evaluations of the risk-based capital stress 
test, we also may find it necessary to make technical modifications to 
the risk-based capital stress test procedures. If we modify the 
procedures for implementing the risk-based capital stress test, we will 
notify Farmer Mac and provide them with written instructions to 
implement the changes. We will make these modifications available to 
the public on a quarterly basis on our web site.

VI. Statistical Properties of the Default Equation

    This section provides further details about the credit risk 
component, including the underlying theory, analytical methods, data, 
model specifications, econometric estimation results, and conformance 
with the worst-case conditions specified in the statute. This section 
is intended for readers who desire further information on the 
measurement of credit risk and the statistical properties of the 
default estimation equation.

A. Estimation Methods

    Historic time series on the frequency and severity of losses on 
farm mortgage loans are compiled from available loan-level data.\17\ 
The measures of frequency and severity are related to selected loan-
level characteristics and macroeconomic conditions through 
appropriately specified regression equations in order to account 
explicitly for the collective effects of these characteristics on 
frequency and severity of loss. The resulting regression equations are 
applied to estimate Farmer Mac's future credit risk position by 
substituting the respective values of their loan level characteristics 
and macroeconomic (farmland value changes) measures into the estimated 
regression equations, calculating the results, and determining the 
performance implications.
---------------------------------------------------------------------------

    \17\ As previously discussed, the historic loan data was 
obtained from FCBT.
---------------------------------------------------------------------------

    Several estimation approaches are possible, although the ultimate 
choice depends on the degree of conformance between the characteristics 
of the data and the properties of the respective regression methods. In 
the case of frequency of default and loan loss occurrence, the loan 
outcome is a qualitative, binary variable--default and loss either 
occur or do not occur. Therefore, the appropriate regression procedure 
must also accommodate qualitative characteristics (e.g., loan default 
and loss is coded with a value of 1, while successful loan performance 
is coded with a value of 0).

[[Page 61750]]

    Regression approaches with qualitative dependent variables include 
the linear probability model, logit, and probit. The linear probability 
model has a number of shortcomings and is rarely used. Under the linear 
probability model, estimates can occur outside the 0-1 interval 
resulting in nonsense probabilities and negative variances. Logit and 
probit are the most commonly used approaches. The primary difference 
between the two approaches is the assumed underlying probability 
distribution. The probit model assumes a normal distribution while the 
logit model uses the logistic distribution. Logit is used more 
frequently in modeling loan defaults, and is utilized in the credit 
risk component of the stress test.
    In the case of severity of loss, the resulting magnitude of loan 
loss does not have a qualitative characteristic. Rather, magnitude of 
loss occurs in a continuous form, bounded at zero, thus requiring a 
different modeling approach.
    The two equations for frequency and severity could be estimated 
independently. If they are estimated independently, but are in fact 
related, inconsistent estimates result. A method to accommodate 
possible dependence is to use a Heckman two-step approach that first 
assesses the probability of default then subsequently estimates the 
level of loss based on similar or different covariates. Accordingly, 
Heckman's two-step or ``Heckit'' estimation method was also explored. 
The Heckman two-step approach is estimated using method of moments 
techniques that results in consistent estimates.\18\ Basically, it is a 
discrete model estimated on the basis of sample selection criteria. 
Then, a linear regression is performed in the second step. Examples of 
the two-step estimation procedure include Miller, Barry, Ellinger, and 
Lajili and Nakosteen and Zimmer.\19\ The method utilizes an asymptotic 
covariance for the two-step estimation and results in a consistent 
estimator for variance (e2). The system 
specification is appropriate in this case because of the relationship 
between the two equations. That is, severity of loss only occurs on 
defaulted loans. Default is required in order for loss to occur. While 
we explored this approach, the two-step procedure did not yield 
significant results for estimating a loss severity equation. Severity 
was not found to vary systematically and considered constant across the 
tested loan characteristics and lending conditions. Therefore, the 
simple weighted average by loss volume of 20.9 percent is used in the 
stress test.
---------------------------------------------------------------------------

    \18\ Greene, W. A. Economic Analysis, 3rd ed., Prentice Hall, 
1997.
    \19\ Miller, L.P.N. Ellinger, P.J. Barry, and K. Lajili. ``Price 
and Non-Price Management of Agricultural Credit Risk,'' Agricultural 
Finance Review, 53 (1993): 28-41. Nakosteen, R. and M. Zimmer. 
``Migration and Income: The Question of Self-Selection,'' Southern 
Economic Journal, 7 (1980): 840-851.
---------------------------------------------------------------------------

    Due to Farmer Mac's relatively short history, its own loan-level 
data are insufficiently developed for use in estimating default 
frequency and loss severity equations. In the future, however, 
expansions in both the scope and historic length of Farmer Mac's 
lending operations likely will warrant use of its data in estimating 
the regression equations.

B. Model Specifications

    Agricultural credit and residential mortgage literature suggest 
several independent financial variables to consider in modeling loan 
default. These include the D/A ratio, LTV ratio, DSCR, age of the loan, 
payment burden, interest rate changes, land price changes, net farm 
income and changes in commodity prices. These variables were each 
considered in modeling the default experiences of FCBT loans. Standard 
goodness-of-fit measures and the credibility of outcomes were used to 
select the final equation used to estimate the loss probabilities.
    The FCBT farm real estate loans were included in the estimating 
data if they satisfied at least three of four underwriting standards 
currently utilized by Farmer Mac. The four standards specify that: (1) 
The D/A ratio must be less than or equal to 0.50, (2) the LTV ratio 
must be less than or equal to 0.70,(3) the DSCR must exceed 1.25, (4) 
and the current ratio must exceed 1.0. Farmer Mac may waive complete 
compliance with these standards if a loan is judged to have appropriate 
offsetting strengths. Accordingly, the approach employed in the 1998 
study requires that loans satisfy at least three of the four specified 
standards.
    Furthermore, the D/A and LTV ratios were restricted to be less than 
or equal to 0.85. It is unlikely that Farmer Mac would waive these 
standards if the ratios exceeded these values. Inspection of a portion 
of Farmer Mac's loan portfolio indicated several instances where the D/
A and LTV ratios exceed .50 and .70, respectively, with values of both 
ratios rarely exceeding 0.85. In the Farmer Mac data, 3.3 percent of 
the loans and 3.1 percent of the current outstanding loan balances have 
LTV ratios exceeding 0.70. The use of the maximum values for LTV and D/
A and the three-out-of-four standards requirement for passing standards 
is intended to emulate Farmer Mac's underwriting standards, and 
includes the practice of waiving selected standards.
    Several limitations in the FCBT loan-level data affect construction 
of the default function. The data contained loans that were originated 
between 1979 and 1992, but there were virtually no losses during the 
early parts of the sample period. As a result, losses attributable to 
specific loans are only available from 1986 through 1992. In addition, 
no prepayment information was available in the data.
    The data set used for estimation also includes loans that were re-
amortized, paid in full, or merged with a new loan as performing loans. 
Including these loans may lead to an underestimation of defaults, if 
some of the re-amortized, paid, or merged loans default and incur 
losses. In contrast, when the loans that are re-amortized, paid in full 
or merged are excluded from the analysis, the default rates are 
overestimated if a higher proportion of loans that are re-amortized, 
paid in full, or combined (merged) into a new loan are non-default 
loans compared to live loans. Excluding loans with defaults, 11,527 
loans were active and 7,515 loans were paid in full, re-amortized or 
merged as of 1992. Application of a t-test \20\ for differences in the 
means for these two groups indicated that active loans had 
significantly higher D/A and LTV ratios, and lower current ratios than 
other loans. These results indicate that, on average, active loans have 
potentially higher risk than loans that were re-amortized, paid in 
full, or merged.
---------------------------------------------------------------------------

    \20\ The t-test used evaluates the hypothesis that the means 
from the two loan groups are statistically different. The t-test 
uses a statistic derived from the student distribution.
---------------------------------------------------------------------------

C. Estimation Results

    From a statistical perspective, models utilizing information based 
on origination information and subsequent economic information were 
consistently more reliable than models using loans that are transformed 
into multiple observations.
    The structure of the historical FCBT data supports estimation of 
defaults based on origination information and economic conditions. 
Under an origination year approach each observation is used only once 
in estimating loan default. The underwriting variables at origination 
and economic factors that occur over the life of the loan are used to 
estimate loan default.
    The final estimated equation for loss frequency is:

[[Page 61751]]

[GRAPHIC] [TIFF OMITTED] TP12NO99.000


where p is the probability that a loan defaults and has positive losses 
(Pr(Y=1|x)); B0 to B5 are the estimated 
coefficients for the intercept and variables X1 to 
X5; X1 is the LTV ratio at loan origination 
raised to the power 5.38027; \21\ X2 is the largest annual 
percentage decline in FCBT farmland values during the life of the loan 
discounted by 4.8 percent per year; \22\ X3 is the DSCR at 
loan origination; X4 is the original loan balance in 1997 
dollars; and X5 is the D/A ratio at loan origination. It is 
commonly accepted that farmland values at any point in time reflect the 
discounted present value of expected returns to the land.\23\ Thus, 
changes in land values, as expressed in the default equation, represent 
the combined effects of the level and growth rates of farm income, 
interest rates, and inflationary expectations--each of which is 
accounted for in the discounted, present value process.
---------------------------------------------------------------------------

    \21\ Loss probability is likely to be more sensitive to changes 
in LTV at higher values of LTV. To test and implement this non-
linearity, the model was first estimated with 8 dummy variables at 
LTV intervals of 0 to 0.399, 0.400 to 0.499, 0.500 to 0.599, 0.650 
to 0.699, 0.700 to 0.749, 0.750 to 0.799 and 0.800 to 0.850. A power 
functional form for the LTV variable was fit to replace the 
individual dummy variables. The result using generalized least 
squares (GLS) was LTV 5.38027. The default equation is 
re-estimated with the power function. The power function increases 
the degrees of freedom for the model and provides a continuous 
relationship between LTV and defaults.
    \22\ Discounting reflects the declining effect that the maximum 
land value decline has on the probability of default when it occurs 
later in a loan's life. The value of 4.8 percent was determined by 
iteratively solving the default equation with the default equation 
dummy variable ranging from 0 percent to 10 percent. The 4.8 percent 
rate yielded the highest goodness-of-fit values.
    \23\ Barry, P. J., P. N. Ellinger, J. A. Hopkin, and C. B. 
Baker. Financial Management in Agriculture, 5th ed., Interstate 
Publishers, 1995.
---------------------------------------------------------------------------

    These variables have logical relationships to the incidence of loan 
default and loss, as evidenced by the findings of numerous credit 
scoring studies in agricultural finance.\24\ Each of these anticipated 
directions of relationship signifies greater risk for the borrower, and 
thus greater credit risk and incidence of loan loss for the lender. The 
frequency of loan default was found to differ significantly across all 
of the loan characteristics and lending conditions, as indicated by the 
results of the logit equation. The estimated logit coefficients and p-
values are:
---------------------------------------------------------------------------

    \24\ Splett, N.S., P. J. Barry, B. Dixon, and P. Ellinger. ``A 
Joint Experience and Statistical Approach to Credit Scoring,'' 
Agricultural Finance Review, 54 (1994):39-54.

------------------------------------------------------------------------
                                               Coefficients    p-value
------------------------------------------------------------------------
Intercept....................................    -9.7267          0.0001
X1: LTV......................................     2.7337          0.0001
X2: Max farmland value decline...............    -0.3138          0.0001
X3: DSCR.....................................    -0.1822          0.0003
X4: Loan size................................     8.222E-7        0.0001
X5: D/A ratio................................     2.3229          0.0001
------------------------------------------------------------------------

    The low p-values on each coefficient indicate a highly significant 
relationship between loan default and the respective independent 
variables. Other goodness-of-fit indicators are:

Hosmer and Lemeshow goodness-of-fit p-value--0.2232
Max-rescaled R2--0.1204
Concordant--79.4%
Disconcordant--16.5%
Tied--4.1%

    Explanations of these indicators follow:
    1. Hosmer and Lemeshow Goodness-of-Fit Test divides subjects into 
deciles based on predicted probabilities, then computes a chi-square 
test statistic from observed and expected frequencies. A probability 
(p) value is computed from the chi-square distribution with 8 degrees 
of freedom to test the fit of the logistic model. If the Hosmer and 
Lemeshow goodness-of-fit test statistic is .05 or less, the null 
hypothesis that there is no difference between the observed and 
predicted values of the dependent is rejected. If it is greater, the 
null hypothesis of no difference is not rejected, implying that the 
model's estimates fit that data at an acceptable level. This result 
does not, however, indicate that the model necessarily explains much of 
the variance in the dependent variable. Because the p-value of 0.22 is 
greater than 0.05, the null hypothesis of no difference between the 
observed and predicted values cannot be rejected. No other information 
about the default equation's goodness-of-fit is provided by this 
statistic.
    2. Max-rescaled R-squared. Several measures often are used to 
develop R-squared measures with logistic regression. The logistic 
measures do not specifically measure the degree of variation explained 
by the model. However, the measures often are scaled from 0 to 1.0 to 
provide a relative index of degree of fit. The one reported here is a 
modification of the Cox and Snell coefficient that compares the 
likelihood function with the intercept only with the likelihood 
function with all the variables. Nagelkerke proposed normalizing the 
value between 0 and 1 by dividing by the likelihood function with 
intercepts only. The specific formula is:
[GRAPHIC] [TIFF OMITTED] TP12NO99.001

where L(0) is the likelihood of the intercept-only model, L(() 
is the likelihood of the specified model and n is the sample size. The 
quantity R\2\ achieves a maximum of less than 1 for discrete models, 
where the maximum is given by:
[GRAPHIC] [TIFF OMITTED] TP12NO99.002

    The Nagelkerke adjustment to normalize the value between 0 and 1 
is:
[GRAPHIC] [TIFF OMITTED] TP12NO99.003

While the default equation has strong statistical significance, the 
Max-rescaled R-squared value of 0.1204 indicates that other variables 
and factors not included in the default equation may also influence 
default rates. Limitations on availability and quality of data, 
however, restrict the access to, and use of, other variables.
    Other statistical measures that are indicative of a model's 
performance for correctly estimating the probability of loan default, 
include concordant, disconcordant, and ties. Generally, model 
performance is superior when the concordant measure is high and the 
other two measures are low. Each measure is discussed below.
    3. Concordant. The predicted values for each possible pair of non-
defaulted and defaulted loans are compared. The number of possible 
pairs is equal to the number of non-default loans times the number of 
defaulted loans. The percent of pairs that have defaulted loans with 
higher predicted default rates than predicted default rates for non-
defaulted loans are included in the concordant category. Given all 
possible non-default/default pairwise combinations, the concordant 
percentage is the proportion that has defaulted loans with a higher 
predicted percentage than non-default loans. The concordant value for 
the default equation of 79.4 percent

[[Page 61752]]

indicates a relatively high incidence of correct rankings for the 
possible pairs of defaulted and non-defaulted loans, when the estimated 
coefficients of the default equation are used to estimate default 
rates.
    4. Disconcordant. The disconcordant value is the proportion of 
pairwise estimates that have higher predicted default rates for non-
default loans than defaulted loans. The discordant value of 16.5 
percent indicates a relatively low incidence of incorrect rankings of 
default and non-default loans.
    5. Ties. The proportion of pairwise estimated probabilities that 
are equal between non-default and default is 4.1 percent, which is 
relatively low.

D. Comparison of Actual to Predicted Losses

    We compared the actual and predicted loss rates based on 
origination date and the 20.9 percent severity rate applied to all FCBT 
loans for the years 1979 to 1992. The largest discrepancies between the 
series occur on loans originated in 1984 and 1987. A problem associated 
with errors on specific loans is the application of an average severity 
value. Using an average severity rate underestimates losses on specific 
loans that have actual severity rates exceeding 20.9 percent. Using the 
average severity rate restricts the maximum estimated loss on any loan 
in the portfolio to 20.9 percent of the origination loan balance.
    Application of the estimated loss equations to the FCBT data 
results in total estimated loss over the entire sample period equal to 
$9,417,704. Actual losses incurred total $9,805,472. The average of the 
predicted loss rates is 0.48 percent while the average of the actual 
default rates during 1979-92 is 0.50 percent. The maximum 1- and 2-year 
loss rates are 1.54 percent and 2.17 percent in 1985 and 1984-85, 
respectively. The maximum 1- and 2-year loss rates estimated by the 
model are 1.20 percent in 1984 and 1.85 percent in 1984-85.

VII. Sensitivity of Risk-Based Capital Requirement

    The stress test is responsive to changes in the risk profile 
inherent in Farmer Mac's financial positions. The stress test requires 
higher levels of risk-based capital when Farmer Mac's risk levels 
increase and a lower requirement when risk levels decrease. Risk 
increases or decreases when Farmer Mac modifies its loan underwriting 
standards and/or interest rate risk exposure through various funding 
and hedging strategies. In addition, the mix and volume of assets and 
liabilities, both on- and off-balance sheet, affect risk levels as does 
the initial market interest rate used in the stress test. Some assets 
such as high quality investments, Farmer Mac II program mortgages, 
AgVantage, and Farmer Mac I pre-1996 Act mortgages present little or no 
loss exposure (lower credit risk exposure assets), while other assets 
such as Farmer Mac I post-1996 Act mortgages present greater levels of 
credit risk (higher credit risk exposure assets).
    We evaluated the sensitivity of the stress test using two different 
initial financial positions. Financial position one is consistent with 
Farmer Mac's current business activities and risk profile. Financial 
position two is a hypothetical portrayal of Farmer Mac as a more mature 
business. For this scenario, we increased Farmer Mac's size, business 
activities, and risk profile. We specifically designed financial 
position two to evaluate the sensitivity of the stress test assuming 
additional growth in Farmer Mac program I assets. The characteristics 
of financial position one and two are as follows.

Table 1. Financial Positions Used in Performing the Sensitivity Analysis
------------------------------------------------------------------------
                                                    Financial  Financial
         Financial Component (in millions)           Position   Position
                                                        1          2
------------------------------------------------------------------------
Assets............................................     $2,566     $3,206
Liabilities.......................................      2,481      3,095
Capital...........................................         84        111
Off-Balance Sheet Assets..........................
         Overall Portfolio Characteristics                828      3,187
Lower Credit Risk Exposure Assets.................      1,931      2,133
Higher Credit Risk Exposure Assets................      1,459      4,260
------------------------------------------------------------------------

    We used these two hypothetical financial positions as our initial 
starting positions. For each initial position, we calculated a ``base'' 
case risk-based capital requirement. We then increased or decreased 
Farmer Mac's risk levels by varying:
     Mortgage factors that influence loss performance (D/A 
ratio, LTV ratio, DSCR, loan size, and loan age);
     Interest rate risk exposure as measured by Farmer Mac in a 
market value framework;
     The initial interest rate environment;
     Spread relationships of interest earning assets to 
interest rate index used in the stress test; and
     Guarantee fee charged by Farmer Mac.
    We then recalculated the risk-based capital requirement for each 
varied condition and compared the results to the ``base'' case. The 
results of this analysis follow.

A. Sensitivity to Changes in Mortgage Risk Factors

    The stress test calculates increases in the risk-based capital 
requirement when the risk increases in Farmer Mac's mortgage portfolio 
of held and guaranteed loans. We found that, if Farmer Mac increases 
risk by loosening origination loan underwriting standards, the stress 
test calculates a higher capital requirement. Conversely, if Farmer Mac 
tightens its underwriting standards, the stress test calculates a lower 
capital level. As shown in the following table, the stress test 
consistently produces these results when mortgage characteristics are 
changed individually or on a combined basis.

   Table 2.--Changes in Risk-Based Capital Requirements for Changes in
                        Mortgage Characteristics
------------------------------------------------------------------------
                                    Risk-Based Capital Requirement
    Sensitivity Cases (in    -------------------------------------------
          millions)            Financial  Position   Financial  Position
                                        1                     2
------------------------------------------------------------------------
1. Base Case................                 $29.5                 $43.2
2. Origination D/A Ratios                     38.3                  65.8
 Increase...................
3. Origination LTV Ratios                     37.2                  63.1
 Increase...................
4. Origination DSCR Decrease                  30.3                  45.3
5. Origination Loan Size                      65.2                 141.6
 Increases..................

[[Page 61753]]

 
6. Increases Stated 2 to 5                   109.5                 266.9
 Above Occur Simultaneously.
------------------------------------------------------------------------

    The mortgage factors were increased from the base case on a loan-
by-loan basis to increase risk levels in Farmer Mac's current 
portfolio. In each case, the increase in a mortgage factor was limited 
to the maximum permitted under Farmer Mac's underwriting standards or 
the unadjusted existing loan origination value, whichever was greater. 
We used the existing origination values in Farmer Mac's current 
portfolio as our starting point and then increased and decreased 
individual loan underwriting ratios to perform our sensitivity testing. 
The sensitivity tests are:
    1. Base case;
    2. D/A ratio for individual loans was increased 50 percent 
resulting in an increase in the portfolio-weighted average ratio to 56 
percent from 37 percent;
    3. LTV ratio for individual loans was increased 25 percent 
resulting in an increase in the portfolio-weighted average ratio to 70 
percent from 56 percent with the maximum individual loan increase 
capped at 85 percent;
    4. DSCR for individual loans was decreased 25 percent resulting in 
a decrease in the portfolio-weighted average ratio to 1.26 from 1.71;
    5. Origination size for each loan in Farmer Mac's current portfolio 
was doubled resulting in an increase in the portfolio average to $956 
thousand from $478 thousand with the maximum individual increase capped 
at $3.49 million; and
    6. All increases stated in tests 2 to 5 occurring simultaneously.
    Loan age affects the level of risk-based capital required by the 
stress test. Older loans represent lower credit risk and, therefore, 
reduce the risk-based capital requirement while the opposite is true 
for new loans. We evaluated how the capital requirement changes for an 
increase in loan age of 1 year. The results show a reduced risk-based 
capital requirement from the base case as follows:

Table 3.--Changes in Risk-Based Capital Requirements for Changes in Loan
                                   Age
------------------------------------------------------------------------
                                    Risk-Based Capital Requirement
    Sensitivity Cases (in    -------------------------------------------
          millions)            Financial  Position   Financial  Position
                                        1                     2
------------------------------------------------------------------------
1. Base Case................                 $29.5                 $43.2
2. Loan Age Increases by 1                    26.9                  35.8
 year.......................
------------------------------------------------------------------------

B. Sensitivity to Changes in Interest Rate Risk Exposure and the 
Initial Rate Environment

    The stress test requires Farmer Mac to hold more capital as it 
increases its interest rate risk exposure and less capital as it 
decreases exposure. The stress test uses Farmer Mac's market value 
measurement of interest rate risk to quantify the effects that changes 
in interest rates have on risk-based capital. Farmer Mac can change its 
market value exposure by varying its funding, asset holdings, and 
hedging strategies. We evaluated the effect on the risk-based capital 
requirement if Farmer Mac pursues strategies that either increase or 
decrease its interest risk exposure as measured by the market value 
methodology. For the increase in interest rate risk scenario, we assume 
Farmer Mac doubles its interest rate risk exposure. In this scenario, a 
277 bp movement in interest rates caused the loss to capital to 
increase by $25.1 million compared to the base case. We also evaluated 
the situation where Farmer Mac's interest rate risk exposure declines 
50 percent from the base case. The results of our sensitivity tests are 
summarized below.

   Table 4.--Changes in Risk-Based Capital Requirements for Changes in
                       Interest Rate Risk Exposure
------------------------------------------------------------------------
                                                     Risk-Based Capital
                                                         Requirement
                                                   ---------------------
          Sensitivity Cases (in millions)           Financial  Financial
                                                     Position   Position
                                                        1          2
------------------------------------------------------------------------
1. Base Case......................................      $29.5      $43.2
2. IRR Exposure Increases.........................       54.7       74.9
3. IRR Exposure Decreases.........................       16.9       27.3
------------------------------------------------------------------------

    The interest rate environment affects stress test results. When 
interest rates are low, the rate change used in the stress test is 
relatively small compared to when interest rates are high. Clearly, 
interest rates can change by a greater degree when they are high 
compared to when they are low. In addition, the large changes in 
interest rates expose Farmer Mac to greater risk. The stress test, 
therefore, requires higher risk-based capital in rate environments 
where interest rates are high relative to low rate environments as 
indicated in the following table:

[[Page 61754]]



                Table 5.--Changes in Risk-Based Capital Requirements for Different Initial Rates
----------------------------------------------------------------------------------------------------------------
                                                                                        Risk-Based Capital
                                                                                            Requirement
                 Sensitivity Cases (in millions)                   Initial Rate  -------------------------------
                                                                     (percent)       Financial       Financial
                                                                                    Position 1      Position 2
----------------------------------------------------------------------------------------------------------------
1. Base Case....................................................            5.54           $29.5           $43.2
2. Higher Initial Rate..........................................           11.08            62.6            75.8
----------------------------------------------------------------------------------------------------------------

C. Sensitivity to Changes in Spread Relationships and Guarantee Fees

    The stress test requires higher risk-based capital when earnings 
are under pressure from a tightening in spreads on interest earning 
assets or a reduction in guarantee fees charged by Farmer Mac. On the 
other hand, the risk-based capital requirement would be lower when 
yield spreads widen or Farmer Mac increases its guarantee fees. The 
stress test incorporates earnings when calculating risk-based capital. 
We evaluated the sensitivity of the stress test for decreases in 
spreads on interest earning assets of 5 bp and 10 bp. The stress test 
uses current spreads (i.e., the difference in current yields and the 
interest rate index used in the model) to determine asset yields when 
interest rates are changed. Therefore, a tightening in spreads will 
reduce asset yields used to generate earnings. We also evaluated stress 
test results assuming Farmer Mac reduced guarantee fees currently 
charged by half. The stress test calculated a higher risk-based capital 
requirement under diminished earnings capacity as follows:

   Table 6.--Changes in Risk-Based Capital Requirements for Changes in
                   Earning Spreads and Guarantee Fees
------------------------------------------------------------------------
                                                     Risk-Based Capital
                                                         Requirement
                                                   ---------------------
          Sensitivity Cases (in millions)           Financial  Financial
                                                     Position   Position
                                                        1          2
------------------------------------------------------------------------
1. Base Case......................................      $29.5      $43.2
2. Spread Tighten by 5 bp.........................       31.0       44.2
3. Spread Tighten by 10 bp........................       33.8       45.2
4. Guarantee Fee Decrease.........................       38.4       59.6
------------------------------------------------------------------------

VIII. Impact of the Risk-Based Capital Stress Test on Farmer Mac

    The impact of the stress test depends on Farmer Mac's risk profile 
and starting capital position. High-risk assets and unhedged interest 
rate risk will result in larger risk-based capital requirements. 
Conversely, if Farmer Mac maintains a low risk profile, the stress test 
will produce a low capital requirement. Given Farmer Mac's current 
financial position and risk profile, the proposed stress test would not 
require Farmer Mac to increase its capital. The risk-based capital 
requirement for Farmer Mac produced by the proposed stress test is 
below the statutory minimum and critical capital standards. 
Furthermore, Farmer Mac's current capital level exceeds both the 
statutory minimum and critical capital standards. We emphasize that 
this result is only based on Farmer Mac's current financial position 
and risk profile. If Farmer Mac accepts more risk as it grows into a 
mature business, the risk-based capital requirement could exceed the 
statutory minimum and critical capital standards as well as current 
capital level. In such a situation there are several options available 
to Farmer Mac, including:
     Issue additional stock,
     Increase guarantee fees to build earnings and capital,
     Reduce credit risk through modifications to loan 
underwriting standards or obtain credit enhancements,
     Mitigate interest rate risk through funding and hedging 
strategies.

IX. Reporting Requirements

    Proposed Secs. 650.25 and 650.26 outline Farmer Mac's basic 
responsibilities for determining its risk-based capital level and 
reporting the results to us. Farmer Mac must determine its risk-based 
capital level in accordance with the procedures in Sec. 650.24 and the 
technical appendix of the subpart. Farmer Mac must at all times 
maintain compliance with the risk-based capital levels established by 
the risk-based capital stress test and must be able to determine its 
risk-based capital level at any time. If, at any time, the risk-based 
capital level computed using the risk-based capital stress test 
procedures is less than the minimum capital requirements set forth in 
section 8.33 of the Act, Farmer Mac must maintain the statutory minimum 
capital level.
    Proposed Sec. 650.26 requires Farmer Mac to determine its risk-
based capital level at least quarterly. However, changing circumstances 
that may have a significant effect on capital may necessitate that 
Farmer Mac determine its risk-based capital level more frequently than 
quarterly. For example, we may require the Corporation to determine its 
risk-based capital level and report the results to us more frequently 
than quarterly if:
    1. The Corporation is receiving special supervisory attention;
    2. The Corporation has, or is expected to have, losses resulting in 
capital depletion;
    3. The Corporation has significant exposure due to operational 
risk, the risks from concentrations of credit, certain risks arising 
from other products, services, or related activities, or management's 
overall inability to monitor and control financial risks;
    4. The Corporation is exposed to a high volume of, or particularly 
severe, problem loans;
    5. The Corporation is growing rapidly;
    6. The Corporation may be adversely affected by the activities or 
the condition of other institutions with which it has significant 
business relationships or in which it has significant investments; or
    7. The Corporation has significant exposure to declines in net 
income or in the market value of its capital due to a change in 
interest rates and/or the exercise of embedded or explicit options.
    In addition, if Farmer Mac anticipates entering into any new 
business activity that could have a significant effect on capital, it 
must determine a pro forma risk-based capital level that includes the 
new business activity. Farmer Mac must provide the pro forma 
determination to us 10 days prior to implementation of the new business 
program. Proposed Secs. 650.27 and 650.28 provide further instructions 
on how and when to report the risk-based capital level.

X. Business and Capital Plans

    Well-conceived strategic and operational business and capital plans 
promote safety and soundness and are essential ingredients in meeting 
institutional objectives. The process of identifying, measuring and 
controlling

[[Page 61755]]

an institution's risks and the resulting capital requirements starts 
with the development of the institution's goals and objectives. Such 
goals and objectives should identify the direction in which an 
institution wants to proceed, its stated mission, business structure, 
and how it intends to achieve its stated goals.
    We expect that any strategic and operational business and capital 
plans will address the long-term purpose and mission of the business. 
In addition, we believe that such plans should include quantifiable 
goals and objectives, and recognize and discuss internal and external 
factors that are likely to influence the future operations of the 
business. We also expect that the strategic planning process will 
include an appropriate capital adequacy plan.
    Proposed Sec. 650.22 sets forth the responsibilities of the 
Corporation's board to ensure that the Corporation maintains its 
capital at a level that is sufficient to sustain continued financial 
viability and provide for growth. The Board must take appropriate 
measures so that the Corporation's capital is not only adequate to meet 
formal regulatory standards, but is also sufficient to support the 
Corporation's business objectives and strategies. This requires the 
Board to set explicit goals for capitalization with respect to risk and 
return objectives. The capital adequacy target levels should be part of 
the Corporation's internal process for evaluating capital adequacy. The 
Board should annually review and approve the Corporation's capital 
adequacy target and composition of capital.
    Proposed Sec. 650.22(b) requires the Board to adopt a 3-year 
strategic and operational business plan. The plan must contain the 
elements of both a basic strategic and operational business plan as 
well as a capital adequacy plan. Among other items listed in proposed 
Sec. 650.22(b), the capital adequacy plan must include any projected 
dividends, equity retirements, or other action that may decrease the 
Corporation's capital. The Board should also consider other relevant 
factors that may affect Farmer Mac's capital adequacy, such as the 
capability of management to measure, manage, and control risk, the 
development of new lines of business or Farmer Mac's continued ability 
to access the market at favorable rates.

XI. Supervision and Notification

    Section 8.35(a) of the Act describes the various levels (I-IV) of 
enforcement under which the Corporation will be classified by the OSMO 
Director. Proposed Sec. 650.29 establishes the regulatory procedure for 
the OSMO Director to notify Farmer Mac of a determination that it is 
not meeting the risk-based capital level calculated by the Corporation 
as required by Sec. 650.23 or the minimum or critical capital 
requirements specified by sections 8.33 and 8.34 of the Act. Proposed 
Sec. 650.29 provides for the submission of a capital restoration plan, 
as appropriate, when it has been determined that the Corporation is not 
meeting the required capital levels.

List of Subjects in 12 CFR Part 650

    Agriculture, Banks, banking, Conflicts of interest, Rural areas.
    For the reasons stated in the preamble, part 650 of chapter VI, 
title 12 of the Code of Federal Regulations is proposed to be amended 
to read as follows:

PART 650--FEDERAL AGRICULTURAL MORTGAGE CORPORATION

    1. The authority citation for part 650 is revised to read as 
follows:

    Authority: Secs. 4.12, 5.9, 5.17, 8.11, 8.31, 8.32, 8.33, 8.34, 
8.35, 8.36, 8.37, 8.41 of the Farm Credit Act (12 U.S.C. 2183, 2243, 
2252, 2279aa-11, 2279bb, 2279bb-1, 2279bb-2, 2279bb-3, 2279bb-4, 
2279bb-5, 2279bb-6, 2279cc); sec. 514 of Pub. L. 102-552, 106 Stat. 
4102; sec. 118 of Pub. L. 104-105, 110 Stat. 168.

    2. Subpart B is added to read as follows:

Subpart B--Risk-Based Capital Requirements

Sec.
650.20  Definitions.
650.21  General.
650.22  Corporation board of directors guidelines.
650.23  Risk-based capital stress test.
650.24  Risk-based capital level.
650.25  Your responsibility for determining the risk-based capital 
level.
650.26  When you must determine the risk-based capital level.
650.27  When to report the risk-based capital level.
650.28  How to report your risk-based capital determination.
650.29  Failure to meet capital requirements.
650.30  Effective date for compliance with regulation.
650.31  Audit of the risk-based capital stress test.
Appendix A to Subpart B. of Part 650--Risk-Based Capital Stress 
Tests.


Sec. 650.20  Definitions.

    For purposes of this subpart, the following definitions will apply:
    (a) Farmer Mac, Corporation, you, and your means the Federal 
Agricultural Mortgage Corporation and its affiliates as defined in 
subpart A of this part.
    (b) Our, us or we means the Farm Credit Administration.
    (c) Regulatory capital means the sum of the following as determined 
in accordance with generally accepted accounting principles:
    (1) The par value of outstanding common stock;
    (2) The par value of outstanding preferred stock;
    (3) Paid-in capital, which is the amount of owner investment in the 
Corporation in excess of the par value of stock;
    (4) Retained earnings; and
    (5) Any allowances for losses on loans and guaranteed securities.
    (d) Risk-based capital means the amount of regulatory capital 
sufficient for the Corporation to maintain positive capital during a 
10-year period of stressful conditions as determined by the risk-based 
capital stress test described in Sec. 650.23.


Sec. 650.21  General.

    You must hold risk-based capital in an amount determined in 
accordance with this subpart.


Sec. 650.22  Corporation board of directors guidelines.

    (a) Your board of directors is responsible for ensuring that you 
maintain total capital at a level that is sufficient to ensure 
continued financial viability and provide for growth. In addition, your 
capital must be sufficient to meet statutory and regulatory 
requirements.
    (b) No later than 30 days after the beginning of each calendar 
year, your board of directors must adopt an operational and strategic 
business plan for at least the next 3 years. The plan must include:
    (1) A mission statement;
    (2) A review of the internal and external factors that are likely 
to affect you during the planning period;
    (3) Measurable goals and objectives;
    (4) Pro forma financial statements for each year of the plan;
    (5) A detailed operating budget for the first year of the plan; 
and,
    (6) A capital adequacy plan.
    (c) The capital adequacy plan must include capital targets 
necessary to achieve the minimum, critical and risk-based capital 
standards specified by the Act and this subpart as well as your capital 
adequacy goals. The plan must address any projected dividends, equity 
retirements, or other action that may decrease your capital or its 
components for which minimum amounts are required by this subpart. You 
must specify in your plan the circumstances in which stock or equities 
may be retired. In addition to factors that must be considered in 
meeting the statutory

[[Page 61756]]

and regulatory capital standards, your board of directors must also 
consider at least the following factors in developing the capital 
adequacy plan:
    (1) Capability of management;
    (2) Strategies and objectives in your business plan;
    (3) Quality of operating policies, procedures, and internal 
controls;
    (4) Quality and quantity of earnings;
    (5) Asset quality and the adequacy of the allowance for losses to 
absorb potential losses in your retained mortgage portfolio, securities 
guaranteed as to principal and interest, commitments to purchase 
mortgages or securities, and other program assets or obligations;
    (6) Sufficiency of liquidity and the quality of investments; and
    (7) Any other risk-oriented activities, such as funding and 
interest rate risks, contingent and off-balance sheet liabilities, or 
other conditions warranting additional capital.


Sec. 650.23  Risk-based capital stress test.

    You will perform the risk-based capital stress test as described in 
summary form below and as described in detail in appendix A to this 
subpart. The risk-based capital stress test spreadsheet is also 
available electronically at www.fca.gov. The risk-based capital stress 
test has five components:
    (a) Data requirements. You will use the following data to implement 
the risk-based capital stress test.
    (1) You will use Corporation loan-level data to estimate the credit 
risk component of the risk-based capital stress test.
    (2) You will use Call Report data as the basis for Corporation data 
over the 10-year stress period supplemented with your interest rate 
risk measurements and tax data.
    (3) You will use other data, including the 10-year Constant 
Maturity Treasury (CMT) and the applicable Internal Revenue Service 
corporate income tax schedule, as further described in the technical 
appendix.
    (b) Credit risk. The credit risk part estimates loan losses during 
a period of sustained economic stress.
    (1) For each loan in the Farmer Mac I portfolio, you will determine 
a default probability by using the logit functions specified in 
appendix A to this subpart with each of the following variables:
    (i) Borrower's debt-to-asset ratio at loan origination;
    (ii) Loan-to-value ratio at origination, which is the loan amount 
divided by the value of the property;
    (iii) Debt-service-coverage ratio at origination, which is the 
borrower's net income (on- and off-farm) plus depreciation, capital 
lease payments, and interest, less living expenses and income taxes, 
divided by the total term debt payments;
    (iv) The origination loan balance stated in 1997 dollars based on 
the consumer price index; and
    (v) The worst-case percentage change in farmland values (23.52 
percent).
    (2) You will then calculate the loss rate by multiplying the 
default probability for each loan by the estimated loss severity rate, 
which is the average loss of the defaulted loans in the data set (20.9 
percent).
    (3) You will calculate losses by multiplying the loss rate by the 
origination loan balances stated in 1997 dollars.
    (4) You will adjust the losses for loan seasoning, based on the 
number of years since loan origination, according to the functions in 
appendix A to this subpart.
    (5) The losses must be applied in the risk-based capital stress 
test as specified in appendix A to this subpart.
    (c) Interest rate risk. (1) During the first year of the stress 
period, you will adjust interest rates for two scenarios, an increase 
in rates and a decrease in rates. You must determine your risk-based 
capital level based on whichever scenario would require more capital.
    (2) You will calculate the interest rate stress based on changes to 
the quarterly average of the 10-year CMT. The starting rate is the 3-
month average of the most recent CMT monthly rate series. To calculate 
the change in the starting rate, determine the average yield of the 
preceding 12 monthly 10-year CMT rates. Then increase and decrease the 
starting rate by:
    (i) 50 percent of the 12-month average if the average rate is less 
than 12 percent; or
    (ii) 600 bp if the 12-month average rate is equal to or higher than 
12 percent.
    (3) Following the first year of the stress period, interest rates 
remain at the new level for the remainder of the stress period.
    (4) You will apply the interest rate changes scenario as indicated 
in appendix A to this subpart.
    (5) You may use other interest rate indices in addition to the 10-
year CMT subject to our concurrence, but in no event can your risk-
based capital level be less than that determined by using only the 10-
year CMT.
    (d) Cashflow generator. (1) You must adjust your financial 
statements based on the credit risk inputs and interest rate risk 
inputs described above to generate pro forma financial statements for 
each year of the 10-year stress test. The cashflow generator produces 
these financial statements. You may use the cashflow generator 
spreadsheet that is described in the technical appendix to this subpart 
and available electronically at www.fca.gov. You may also use any 
reliable program that can develop or produce pro forma financial 
statements using generally accepted accounting principles and widely 
recognized financial modeling methods, subject to our concurrence. You 
may disaggregate financial data to any greater degree than that 
specified in appendix A to this subpart, subject to our concurrence.
    (2) You must use model assumptions to generate financial statements 
over the 10-year stress period. The major assumption is that cashflows 
generated by the risk-based capital stress test are based on a steady 
state scenario. To implement a steady state scenario, when on- and off-
balance sheet assets and liabilities amortize or are paid down, you 
must replace them with similar assets and liabilities. Replace 
amortized assets from discontinued loan programs with current loan 
programs. In general, keep assets with small balances in constant 
proportions to key program assets.
    (3) You must simulate annual pro forma balance sheets and income 
statements in the risk-based capital stress test using the 
Corporation's starting position, the credit risk and interest rate risk 
components, resulting cashflow outputs, current operating strategies 
and policies, and other inputs as shown in appendix A to this subpart 
and the electronic spreadsheet available at www.fca.gov.
    (e) Calculation of capital requirement. The calculations that you 
must use to solve for the starting regulatory capital amount are shown 
in appendix A to this subpart and in the electronic spreadsheet 
available at www.fca.gov.


Sec. 650.24  Risk-based capital level.

    The risk-based capital level is the sum of the following amounts:
    (a) Credit and interest rate risk. The amount of risk-based capital 
determined by the risk-based capital test under Sec. 650.23.
    (b) Management and operations risk. Thirty (30) percent of the 
amount of risk-based capital determined by the risk-based capital test 
in Sec. 650.23.


Sec. 650.25  Your responsibility for determining the risk-based capital 
level.

    (a) You must determine your risk-based capital level using the 
procedures in this subpart, appendix A to this subpart, and any other 
supplemental instructions provided by us. You will report your 
determination to us as

[[Page 61757]]

prescribed in Sec. 650.28. At any time, however, we may determine your 
risk-based capital level using the procedures in Sec. 650.23 and 
appendix A to this subpart, and you must hold risk-based capital in the 
amount we determine is appropriate.
    (b) You must at all times comply with the risk-based capital levels 
established by the risk-based capital stress test and must be able to 
determine your risk-based capital level at any time.
    (c) If at any time, the risk-based capital level you determine is 
less than the minimum capital requirements set forth in section 8.33 of 
the Act, you must maintain the statutory minimum capital level.


Sec. 650.26  When you must determine the risk-based capital level.

    (a) You must determine your risk-based capital level at least 
quarterly or whenever changing circumstances occur that have a 
significant effect on capital, such as exposure to a high volume of or 
particularly severe, problem loans or a period of rapid growth.
    (b) In addition to the requirements of paragraph (a) of this 
section, we may require you to determine your risk-based capital level 
at any time.
    (c) If you anticipate entering into any new business activity that 
could have a significant effect on capital, you must determine a pro 
forma risk-based capital level, which must include the new business 
activity, and report this pro forma determination to the Director, 
Office of Secondary Market Oversight, at least 10 business days prior 
to implementation of the new business program.


Sec. 650.27  When to report the risk-based capital level.

    (a) You must file a risk-based capital report with us each time you 
determine your risk-based capital level as required by Sec. 650.26.
    (b) You must also report to us at once if you identify in the 
interim between quarterly or more frequent reports to us that you are 
not in compliance with the risk-based capital level required by 
Sec. 650.24.
    (c) If you make any changes to the data used to calculate your 
risk-based capital requirement that causes a material adjustment to the 
risk-based capital level you reported to us, you must file an amended 
risk-based capital report with us within 5 business days after the date 
of such changes;
    (d) You must submit your quarterly risk-based capital report for 
the last day of the preceding quarter not later than the last business 
day of April, July, October, and January of each year.


Sec. 650.28  How to report your risk-based capital determination.

    (a) Your risk-based capital report must contain at least the 
following information:
    (1) All data integral for determining the risk-based capital level, 
including any business policy decisions or other assumptions made in 
implementing the risk-based capital test;
    (2) Other information necessary to determine compliance with the 
procedures for determining risk-based capital as specified in appendix 
A to this subpart; and,
    (3) Any other information we may require in written instructions to 
you.
    (b) You must submit each risk-based capital report in such format 
or media as we require.


Sec. 650.29  Failure to meet capital requirements.

    (a) Determination and notice. At any time, we may determine that 
you are not meeting your risk-based capital level calculated according 
to Sec. 650.23, your minimum capital requirements specified in section 
8.33 of the Act or your critical capital requirements specified in 
section 8.34 of the Act. We will notify you in writing of this fact and 
the date by which you should be in compliance (if applicable).
    (b) Submission of capital restoration plan. Our determination that 
you are not meeting your required capital levels may require you to 
develop and submit to us, within a specified time period, an acceptable 
plan to reach the appropriate capital level(s) by the date required.


Sec. 650.30  Effective date for compliance with regulation.

    For the 12-month period beginning on the effective date of this 
regulation, you must determine a risk-based capital level by 
implementing the risk-based capital stress test as described in 
Sec. 650.23 and appendix A to this subpart, and must report the results 
to us as described in Sec. 650.28. During this 12-month period, you 
will not be required to maintain capital at the risk-based capital 
level, but you must maintain your minimum capital level as prescribed 
in section 8.33 of the Act. Beginning on the day following the 12-month 
period, you must comply with all provisions of this subpart.


Sec. 650.31  Audit of the risk-based capital stress test.

    You must have a qualified, independent external auditor review your 
implementation of the risk-based capital stress test every 3 years and 
submit a copy of the auditor's opinion to us.

Appendix A to Subpart B of Part 650--Risk-Based Capital Stress 
Tests

1.0 Introduction.
2.0 Credit Risk.
2.1 Loss Frequency and Severity Models.
2.2 Loan Seasoning Adjustment.
2.3  Example Calculation of Dollar Loss on One Loan.
2.4 Treatment of Long-term Standby Purchase Commitments.
2.5 Calculation of Loss Rates for Use in the Stress Test.
3.0 Interest Rate Risk.
3.1 Process for Calculating the Interest Rate Movement.
4.0 Elements Used in Generating Cashflows.
4.1 Data Inputs.
4.2 Assumptions and Relationships.
4.3 Risk Measures.
4.4 Loan and Cashflow Accounts.
4.5 Income Statements.
4.6 Balance Sheets.
4.7 Capital.
5.0 Capital Calculations.
5.1 Method of Calculation.

1.0 Introduction

    a. This technical appendix provides details about the risk-based 
capital stress test (stress test) for Farmer Mac. The stress test is 
a deterministic portrayal of Farmer Mac's annual capital needs for 
10 years. The stress test calculates the risk-based capital level 
required by statute under stipulated conditions of credit risk and 
interest rate risk. The stress test uses loan-level data from Farmer 
Mac's agricultural mortgage portfolio, as well as quarterly Call 
Report and related information to generate pro forma financial 
statements and calculate a risk-based capital requirement. The 
stress test also uses historic agricultural real estate mortgage 
performance data, relevant economic variables, and other inputs in 
its calculations.
    b. The key components of the stress test include the specifications 
of credit risk, interest rate risk, the cashflow generator, and the 
capital calculation. Linkages among the components ensure that the 
measures of credit and interest rate risk pass into the cashflow 
generator. The linkages also transfer cashflows through the financial 
statements to represent values of assets, liabilities, and equity 
capital. We designed the 10-year projection to reflect a steady state 
in the scope and composition of Farmer Mac's assets. This technical 
appendix provides details about the credit risk, interest rate risk, 
cashflow generator, and capital components of the stress test.

2.0 Credit Risk

    Computing credit risk requires loan loss rates. We determined 
loan loss rates by applying loss frequency and severity equations to 
Farmer Mac loan-level data. From these equations, we calculated loan 
losses under stressful economic conditions and loss rates assuming 
Farmer Mac's portfolio remains at a ``steady state.'' Steady state 
assumes the underlying characteristics and, therefore, risks of 
Farmer Mac's

[[Page 61758]]

portfolio remain constant over the 10 years of the stress test. From 
estimated dollar losses, we computed loss rates for use in the 
stress test. The loan volume subject to loss throughout the stress 
test is then multiplied by the loss rate. Lastly, the stress test 
allocates losses to each of the 10 years assuming a time pattern for 
loss occurrence as discussed in section 4.3 of this appendix 
entitled Risk Measures.

2.1 Loss Frequency and Severity Models

    a. We modeled credit risk using historical time series loan-
level data to measure the frequency and severity of losses on 
agricultural mortgage loans. The model relates frequency and 
severity to loan-level characteristics and economic conditions 
through appropriately specified regression equations in order to 
account explicitly for the collective effects of these 
characteristics on loan losses. We can then estimate loan losses for 
Farmer Mac with the resulting regression equations by substituting 
the respective values of Farmer Mac's loan-level data and using a 
stressful economic input.
    b. The loss frequency and severity equations were estimated from 
historical agricultural real estate mortgage loan data from the Farm 
Credit Bank of Texas (FCBT). To estimate the equations, the data 
used included FCBT loans if they satisfied at least three of four 
underwriting standards Farmer Mac currently uses (estimation data). 
The final estimated equation for loss frequency is:
[GRAPHIC] [TIFF OMITTED] TP12NO99.004

Where:

 p is the probability that a loan defaults and has positive 
losses (Pr (Y=1|x)),
 X1 is the loan-to-value ratio (LTV) at loan 
origination raised to the power 5.38027,1
---------------------------------------------------------------------------

    \1\ To test and implement the non-linear relationship between 
loss probability and LTV, the model was first estimated with 8 dummy 
variables at LTV intervals of 0 to 0.399, 0.400 to 0.499, 0.500 to 
0.599, 0.650 to 0.699, 0.700 to 0.749, 0.750 to 0.799 and 0.800 to 
0.850. Using generalized least squares, a power function of LTV 
5.38027 was fit to replace the individual dummy variables, and the 
equation was re-estimated. The power function increases the degrees 
of freedom for the model and provides a continuous relationship 
between LTV and defaults.
---------------------------------------------------------------------------

 X2 is the annual percentage decline in farmland 
values during the life of the loan discounted by 4.8 percent per 
year, 2
---------------------------------------------------------------------------

    \2\ We determined the 4.8 percent by iteratively solving the 
default equation using dummy variables ranging from 0 percent to 10 
percent. The 4.8-percent rate yielded the highest goodness-of-fit 
values.
---------------------------------------------------------------------------

 X3 is the DSCR at loan origination,
 X4 is the origination loan balance stated in 
1997 dollars based on the consumer price index, and
 X5 is the debt-to-asset ratio (D/A) at loan 
origination.
    c. When applying the equation to Farmer Mac's portfolio, you 
must get the input values for X1, X3, 
X4, and X5 for each loan on the stress test 
run date. For the variable X2, the stressful input value 
from the benchmark loss experience is -23.52 percent. You must apply 
this input to all Farmer Mac loans subject to loss to calculate loss 
frequency under stressful economic conditions.3 The 
maximum land value decline stressed input from the benchmark loss 
experience is the simple average of annual land value changes for 
Iowa, Illinois, and Minnesota for the years 1984 and 1985.
---------------------------------------------------------------------------

    \3\ On- and off-balance sheet Farmer Mac I agricultural mortgage 
program assets booked after the 1996 amendments are subject to the 
loss calculation.
---------------------------------------------------------------------------

    d. The loss frequency (default) equation is non-linear and, 
therefore, using inputs outside the estimation data requires special 
treatment to implement the non-linear nature of the equation. While 
the estimation data embody Farmer Mac values for various loan 
characteristics, the maximum farmland price decline experienced in 
Texas was 16.69 percent, far below the benchmark experience of 23.52 
percent. Applying the more severe benchmark loss experience to the 
increasing non-linear loss frequency equation could result in 
unreasonably large loss rates. The rates could get too large if the 
actual relationship between loss rates and land value declines is 
lower than calculated from the estimation data. To account for this 
effect you must apply a procedure that restricts the slope of all 
the independent variables to that observed at the maximum land value 
decline observed in the estimation data. Essentially, you must 
approximate the slope of each variable and use the measurement to 
adjust the probability of loan default and loss occurrence to 
reflect the more severe benchmark land value change. The adjustment 
procedure is shown in step 4 of section 2.3 of this appendix 
entitled Example Calculation of Dollar Loss on One Loan. 
    e. Loss severity is a weighted average rate of 20.9 percent 
where the weight is loss volume.4 You must multiply loss 
severity with the probability estimate computed from the loss 
frequency equation to determine the origination loss rate for a 
loan.
---------------------------------------------------------------------------

    \4\ We calculated the weighted average severity from the 
estimation data.
---------------------------------------------------------------------------

    f. Using origination data results in estimated probabilities of 
loss frequency over the life of a loan. To account for loan 
seasoning, you must apply the loan seasoning distribution and 
subtract the cumulative distribution of loss exposure already 
experienced by each loan as discussed in section 2.3 of this 
appendix entitled Loan Seasoning Adjustment. This subtraction is 
based on loan age and reduces the loss estimated by the loss 
frequency and severity equations. The result is an age-adjusted 
dollar loss that can be used in subsequent calculations of loss 
rates as discussed in section 2.5 of this appendix entitled 
Calculation of Loss Rates for Use in the Stress Test.

2.2  Loan Seasoning Adjustment

    a. You must use the seasoning distribution to adjust each Farmer 
Mac loan for the cumulative loss exposure already experienced based 
on age. The estimated seasoning distribution for a 14-year average 
loan life and estimated values of p = 5.0875 and q = 13.6376 is: \5\
---------------------------------------------------------------------------

    \5\ We estimated the loan seasoning distribution from portfolio 
aggregate charge-off rates from the estimation data. To do so, we 
arrayed all defaulting loans where loss occurred according to the 
time from origination to default. Then, a beta distribution, 
(p, q), was fit to the estimation data scaled to the 
maximum time a loan survived (14 years).

------------------------------------------------------------------------
                                                              Proportion
                            Year                               of loss
                                                              (percent)
------------------------------------------------------------------------
 1.........................................................         0.58
 2.........................................................         8.30
 3.........................................................        21.98
 4.........................................................        27.56
 5.........................................................        21.99
 6.........................................................        12.45
 7.........................................................         5.18
 8.........................................................         1.57
 9.........................................................         0.33
10.........................................................         0.05
11.........................................................         0.00
12.........................................................         0.00
13.........................................................         0.00
14.........................................................         0.00
------------------------------------------------------------------------

    b. How you must use the loan seasoning distribution is shown in 
step 7 of section 2.3 of this appendix entitled Example Calculation 
of Dollar Loss on One Loan.

2.3  Example Calculation of Dollar Loss on One Loan

    Following is an example of how to calculate the loss for an 
individual loan that has the following independent characteristics 
and input values: \6\

 
 
 
  Loan Origination Year....................................         1996
  Loan Origination Balance.................................   $1,250,000
  LTV at Origination.......................................          0.5
  D/A at Origination.......................................          0.5
  DSCR at Origination......................................       1.3984
  Maximum Percentage Land Price Decline (MAX...............       -23.52
 

    \6\ In the example calculations, we rounded numbers. However, 
the stress test does not use rounded numbers.

    Step 1: Convert 1996 Origination Value to 1997 dollar value 
(LOAN) based on the consumer price index as follows: $1,278,750 = 
$1,250,000  1.023

[[Page 61759]]

    Step 2: Calculate the default probabilities using -16.69 percent 
and -16.79 percent land value declines as follows:\7\
---------------------------------------------------------------------------

    \7\ This process facilitates the approximation of slope needed 
to adjust the loss probabilities for land value declines greater 
than observed in the estimation data.
---------------------------------------------------------------------------

Where,
[GRAPHIC] [TIFF OMITTED] TP12NO99.005

    Step 3: Calculate the slope adjustment. You must calculate slope 
by subtracting the difference between ``Default Probability @ -16.69 
percent'' and ``Default Probability @ -16.79 percent'' and dividing 
by -0.1 (the difference between -16.69 percent and -16.79 percent) 
as follows:
[GRAPHIC] [TIFF OMITTED] TP12NO99.006

    Step 4: Make the linear adjustment. You make the adjustment by 
increasing the ``default probability @ -16.69 percent'' computed in 
Step 2 to reflect the stressed farmland value input, appropriately 
discounted. As discussed previously, the stressed land value input 
is discounted to reflect the declining effect that the maximum land 
value decline has on the probability of default when it occurs later 
in a loan's life.\8\ The linear adjustment is the difference between 
the -16.69 percent land value decline and the adjusted stressed 
maximum land value decline input of -23.52 multiplied by the slope 
estimated in Step 3 as follows:
---------------------------------------------------------------------------

    \8\ The discount period is the number of years from the 
beginning of the origination year to the current year (i.e., January 
1, 1996 to January 1, 2000, is 4 years).
---------------------------------------------------------------------------

Discounted Maximum Land Price Decline = -19.50 = (-23.52)(1.048)-\4\
Slope Adjustment = 0.06575 = 0.02340 (-16.69---19.50)
Loan Default Probability = 0.144026 = 0.078276 + 0.06575

    Step 5: Multiply loan default probability times the average 
severity of 0.209 as follows:

0.03010 = 0.144026  0.209

    Step 6: Multiply the loss rate times the origination loan 
balance as follows:

$37,625=$1,250,000 x 0.03010

    Step 7: Adjust the dollar losses for 4 years of loan seasoning 
as follows:

$15,644=$37,625-($37,625 x 0.584215)

    b. The loan seasoning adjustment factor is obtained from the 
beta distribution, previously discussed, for the age of the loan, 
where age is determined from loan origination to the run date of the 
test.

2.4  Treatment of Long-term Standby Purchase Commitments.

    a. The default equation cannot directly compute the loss 
exposure on loans covered by a long-term standby purchase commitment 
(standbys) because complete origination underwriting standards for 
these loans are unavailable. Instead, the loss rate applied to each 
standby loan is the respective state-level loss rate unadjusted for 
loan seasoning. You must calculate state-level loss rates from non-
standby loans as total dollar loan losses before the loan seasoning 
adjustment divided by total origination loan balances. Then you must 
multiply the origination loan balance of each standby loan by the 
appropriate loss rate to calculate estimated dollar losses. You must 
now adjust the resulting standby loan-level dollar losses adjusted 
for loan seasoning as was done for non-standby loans. For example, 
consider a $1,000,000 standby loan originated in Idaho in 1990. And, 
suppose the unadjusted loss rate for Idaho is 3 percent. The loss 
for this loan is:

($1,000,000  x  0.03) = $30,000.

The loan is 7 years old, thus the estimated age-adjusted loss rate 
is:
    Estimated standby loan loss=$30,000*(0.02)=$600. As previously 
noted, the loan seasoning adjustment factor is obtained from the 
beta distribution for the age of the loan, where age is determined 
from loan origination to the run date of the test.
    c. This treatment may not be used for loans that exhibit risk 
characteristics that, at the time Farmer Mac makes the commitment, 
disqualify the loan from being placed in the lowest risk category of 
the internal credit classification systems of both guarantor and 
guarantee. In the credit component of the stress test, such loans 
must be treated in the same manner as a new loan in any standard 
Farmer Mac I program. Thus, the risk characteristics of the loan at 
the time Farmer Mac enters into the standby commitment are treated 
as loan origination characteristics for calculating credit losses.

2.5  Calculation of Loss Rates for Use in the Stress Test.

    a. You must compute loss rates by state (based on Farmer Mac's 
loan portfolio distribution) after you calculate dollar loan losses 
for each loan subject to loss in Farmer Mac's portfolio. The 
estimated origination year lifetime losses adjusted for loan 
seasoning for non-standby loans are computed as total dollar loan 
losses divided by total origination loan balances for each state. 
Similarly, you must calculate the estimated origination year 
lifetime losses adjusted for loan seasoning for standby loans. This 
calculation is total dollar loan losses divided by total scheduled 
current loan balances for each state. You must then blend the 
resulting state-level loss rates for non-standby and standby loans 
by calculating the weighted average loss rate for each state. For 
instance, the state-level loss rates you would calculate on Farmer 
Mac's current loan portfolio are:

[[Page 61760]]



----------------------------------------------------------------------------------------------------------------
                                                                                              Blended rate for
                                                  Non-standby loans       Standby loans        stress test use
                                                      (percent)             (percent)             (percent)
----------------------------------------------------------------------------------------------------------------
All States....................................                  3.24                  0.14                  2.42
Alaska........................................                  3.24                  0.00                  0.00
Alabama.......................................                  4.58                  0.14                  4.58
Arkansas......................................                  1.97                  0.14                  1.97
Arizona.......................................                  2.32                  0.14                  1.68
California....................................                  3.89                  0.33                  3.83
Colorado......................................                  2.78                  0.14                  2.78
Connecticut...................................                  3.24                  0.14                  2.42
Delaware......................................                  1.90                  0.14                  1.90
Florida.......................................                  1.46                  0.00                  1.42
Georgia.......................................                  3.78                  0.14                  3.78
Hawaii........................................                  3.24                  0.44                  0.44
Iowa..........................................                  3.81                  0.14                  3.81
Idaho.........................................                  2.88                  0.12                  1.57
Illinois......................................                  3.95                  0.31                  3.86
Indiana.......................................                  3.31                  0.14                  3.31
Kansas........................................                  1.92                  0.00                  1.92
Kentucky......................................                  1.46                  0.14                  1.46
Louisiana.....................................                  2.06                  0.14                  2.06
Massachusetts.................................                  3.24                  0.14                  2.42
Maryland......................................                  1.40                  0.14                  1.40
Maine.........................................                  3.24                  0.00                  0.00
Michigan......................................                  2.42                  0.00                  2.41
Minnesota.....................................                  2.46                  0.00                  2.46
Missouri......................................                  2.96                  0.14                  2.96
Mississippi...................................                  3.62                  0.14                  3.62
Montana.......................................                  2.09                  0.10                  0.82
North Carolina................................                  2.31                  0.00                  2.12
North Dakota..................................                  2.04                  0.14                  2.04
Nebraska......................................                  1.89                  0.14                  1.89
New Hampshire.................................                  3.24                  0.14                  2.42
New Jersey....................................                  3.24                  0.81                  0.81
New Mexico....................................                  3.79                  0.00                  3.73
Nevada........................................                  4.74                  0.00                  4.62
New York......................................                  1.17                  0.33                  1.06
Ohio..........................................                  2.05                  0.14                  2.05
Oklahoma......................................                  2.13                  0.14                  2.13
Oregon........................................                  2.84                  0.15                  1.13
Pennsylvania..................................                  3.24                  0.14                  2.42
Rhode Island..................................                  3.24                  0.14                  2.42
South Carolina................................                  3.24                  0.14                  2.42
South Dakota..................................                  1.49                  0.14                  1.49
Tennessee.....................................                  1.25                  0.14                  1.25
Texas.........................................                  4.53                  0.71                  4.51
Utah..........................................                  2.39                  0.39                  2.29
Virginia......................................                  3.55                  0.29                  2.40
Vermont.......................................                  3.24                  0.14                  2.42
Washington....................................                  2.93                  0.13                  1.65
Wisconsin.....................................                  6.72                  0.14                  6.72
West Virginia.................................                  3.24                  0.14                  2.42
Wyoming.......................................                  2.61                  0.00                  2.48
----------------------------------------------------------------------------------------------------------------

    b. How the stress test uses the blended loss rates is discussed 
in section 4.3 of this appendix entitled Risk Measures.

3.0  Interest Rate Risk.

    The stress test explicitly accounts for Farmer Mac's 
vulnerability to interest rate risk from the movement in interest 
rates specified in the statute. The stress test considers Farmer 
Mac's interest rate risk position through the current structure of 
its balance sheet, reported interest rate risk shock-test 
results,\9\ and other financial activities. The stress test 
calculates the effect of interest rate risk exposure through market 
value changes of interest-bearing assets and liabilities, and thus 
equity capital. The stress test also captures this exposure through 
the cashflows on rate-sensitive assets and liabilities. We discuss 
how to calculate the dollar impact of interest rate risk in section 
4.0 of this appendix entitled Elements Used in Generating Cashflows.
---------------------------------------------------------------------------

    \9\ See paragraph c of section 4.1 of this appendix entitled 
Data Inputs for a description of the IRR shock-reporting 
requirement.
---------------------------------------------------------------------------

3.1  Process for Calculating the Interest Rate Movement.

    a. The stress test uses the 10-year Constant Maturity Treasury 
(10-year CMT) released by the Federal Reserve in their publication 
HR. 15 Selected Interest Rates, which is available on their website 
at www.frb.gov. The stress test uses the 10-year CMT to generate 
earnings yields on assets, expense rates on liabilities, and changes 
in the market value of assets and liabilities. For stress test 
purposes, the starting rate for the 10-year CMT is the 3-month 
average of the most recent monthly rate series published by the 
Federal Reserve and available through their website. The 3-month 
average is calculated by summing the monthly series of the 10-year 
CMT and dividing by 3. For instance, you would calculate the initial 
rate on June 30, 1999, as:

------------------------------------------------------------------------
                                                                10-year
                         Month end                           CMT monthly
                                                                series
------------------------------------------------------------------------
04/1999....................................................         5.18

[[Page 61761]]

 
05/1999....................................................         5.54
06/1999....................................................         5.90
                                                            ------------
  Average..................................................         5.54
------------------------------------------------------------------------

    b. The amount by which the stress test shocks the initial rate 
up and down is determined by calculating the 12-month average of the 
10-year CMT monthly series. If the resulting average is less than 12 
percent, the stress test shocks the initial rate by an amount 
determined by multiplying the 12-month average rate by 50 percent. 
However, if the average is greater than or equal to 12 percent, the 
stress test shocks the initial rate by 600 bp. For example, you 
would determine the amount by which to increase and decrease the 
initial rate for June 30, 1999 as:

------------------------------------------------------------------------
                                                             10-year CMT
                         Month End                             Monthly
                                                                Series
------------------------------------------------------------------------
07/1998....................................................         5.46
08/1998....................................................         5.34
09/1998....................................................         4.81
10/1998....................................................         4.53
11/1998....................................................         4.83
12/1998....................................................         4.65
01/1999....................................................         4.72
02/1999....................................................         5.00
03/1999....................................................         5.23
04/1999....................................................         5.18
05/1999....................................................         5.54
06/1999....................................................         5.90
                                                            ------------
  12-Month Average.........................................         5.10
------------------------------------------------------------------------

    Calculation of Shock Amount:

12-month Average Less than 12%: Yes
12-month Average: 5.10
Multiply the 12-month Average by: 50%
Shock in bp Equals 255

    c. You must run the stress test for two separate changes in 
interest rates, an immediate increase in the initial rate by the 
shock amount and an immediate decrease in the initial rate by the 
shock amount. The stress test holds the changed interest rate 
constant for the entire 10-year stress period. For example, at June 
30, 1999, you would run the stress test for an immediate and 
sustained (for 10 years) upward movement in interest rates to 8.09 
percent (5.54 percent plus 255 bp). You would also run the stress 
test for an immediate and sustained (for 10 years) downward movement 
in interest rates to 2.99 percent (5.54 percent minus 255 bp). The 
movement in interest rates that results in the greatest need for 
capital is used to determine Farmer Mac's risk-based capital 
requirement.

4.0  Elements Used in Generating Cashflows.

    a. This section describes the elements that are required for 
implementation of the stress test and assessment of Farmer Mac 
capital performance through time. An Excel spreadsheet named FAMC 
RBCST, available at www.fca.gov contains the stress test, including 
the cashflow generator. The spreadsheet contains the following seven 
worksheets:
    (1) Data Input;
    (2) Assumptions and Relationships;
    (3) Risk Measures (credit risk and interest rate risk);
    (4) Loan and Cashflow Accounts;
    (5) Income Statements;
    (6) Balance Sheets; and
    (7) Capital.
    b. Each of the components is described in further detail below 
with references where appropriate to the specific worksheets within 
the Excel spreadsheet. The stress test may be generally described as 
a set of linked financial statements that evolve over a period of 10 
years using generally accepted accounting conventions and specified 
sets of stressed inputs. The stress test uses the initial financial 
condition of Farmer Mac, including earnings and funding 
relationships, and the credit and interest rate stress inputs to 
calculate Farmer Mac capital performance through time. The stress 
test then subjects these to the first period set of stresses, 
generates cashflows by asset and liability category, performs 
necessary accounting postings into relevant accounts, and then 
generates an income statement associated with the first interval of 
time. The stress test then uses the income statement to update the 
balance sheet for the end of period 1 (beginning of period 2). All 
necessary capital calculations for that point in time are then 
performed.
    c. The beginning of the period 2 balance sheet then serves as 
the departure point for the second income cycle. The second period's 
cashflows and resulting income statement are generated in similar 
fashion as the first period's except all inputs (i.e., the periodic 
loan losses, portfolio balance by category, and liability balances) 
are updated appropriately to reflect conditions at that point in 
time. The process evolves forward for a period of 10 years with each 
pair of balance sheets linked by an intervening set of cashflow and 
income statements. In this and the following sections, additional 
details are provided about the specification of the income-
generating model to be used by Farmer Mac in calculating the risk-
based capital requirement.

4.1  Data Inputs.

    The stress test requires the initial financial statement 
conditions and income-generating relationships for Farmer Mac. The 
worksheet named ``Data Inputs'' contains the complete data inputs 
and the sample data form used in the stress test. The stress test 
uses these data and various assumptions to calculate pro forma 
financial statements. For stress test purposes, Farmer Mac is 
required to supply:
    a. Call Report Schedules RC: Balance Sheet and RI: Income 
Statement. These schedules form the starting financial position for 
the stress test. In addition, the stress test calculates basic 
financial relationships and assumptions used in generating pro forma 
annual financial statements over the 10-year stress period. 
Financial relationships and assumptions are in section 4.2 of this 
appendix entitled Assumptions and Relationships.
    b. Cashflow data for asset and liability account categories. The 
necessary cashflow data for the spreadsheet-based stress test are 
book value, weighted average yield, weighted average maturity, 
conditional prepayment rate, weighted average amortization, and 
weighted average guarantee fees. The spreadsheet uses this cashflow 
information to generate starting and ending account balances, 
interest earnings, guarantee fees, and interest expense. Each asset 
and liability account category identified in this data requirement 
is discussed in section 4.2 of this appendix entitled Assumptions 
and Relationships.
    c. Interest rate risk measurement results. The stress test uses 
the results from Farmer Mac's interest rate risk model to represent 
changes in the market value of assets, liabilities, and equity for 
upward and downward instantaneous movement in interest rates of 300, 
250, 200, 150, and 100, bp. The stress test uses the estimated 
effective duration to calculate the market value effects from a 
change in interest rates. The stress test uses the duration 
information to construct a linear interpolated schedule relating a 
change in interest rates to a change in the market value of assets 
and liabilities. This calculation is described in section 4.4 of 
this appendix entitled Loan and Cashflow Accounts.
    d. Loan-level data for all Farmer Mac I program assets. (1) The 
stress test requires loan-level data for all Farmer Mac I program 
assets to determine age-adjusted origination year loss rates. The 
specific loan data fields required for running the credit risk 
component are:

------------------------------------------------------------------------
  All other Farmer Mac I program loans    Long-term standby commitments
------------------------------------------------------------------------
Loan Number............................  Loan Number.
Ending Scheduled Balance...............  Current Month Actual Balance.
Group..................................  Group.
Pre/Post Act...........................  Pre/Post Act.
Property State.........................  Property State.
Product Type...........................  Product Type.
Origination Date.......................  Note Date.
Origination Loan Balance...............  Origination Loan Balance.
Origination Scheduled P&I..............  Cutoff Scheduled P&I.

[[Page 61762]]

 
Origination Appraised Value............  Most Recent Appraised Value.
Loan-to-Value Ratio....................  Loan-To-Value Ratio.
Current Assets.........................  Current Assets.
Current Liabilities....................  Current Liabilities.
Total Assets...........................  Total Assets.
Total Liabilities......................  Total Liabilities.
Gross Farm Revenue.....................  Gross Farm Revenue.
Net Farm Income........................  Net Farm Income.
Depreciation...........................  Depreciation.
Interest on Capital Debt...............  Interest On Capital Debt.
Capital Lease Payments.................  Capital Lease Payments.
Living Expenses........................  Living Expenses.
Income & FICA Taxes....................  Income & FICA Taxes.
Net Off-Farm Income....................  Net Off-Farm Income.
Total Debt Service.....................  Total Debt Service.
Guarantee Fee..........................  Commitment Fee Rate.
Seasoned Loan..........................  Seasoned Loan.
------------------------------------------------------------------------

    (2) From the loan-level data, you must identify the geographic 
distribution by state of Farmer Mac's loan portfolio and enter the 
current loan balance for each state in the ``Data Inputs'' 
worksheet. We discussed previously how to calculate age-adjusted 
origination year loss rates in section 2.0 of this appendix entitled 
Credit Risk. The age-adjusted origination year loss rates, blended 
across standby and non-standby program assets are entered in the 
``Risk Measures'' worksheet of the stress test. In addition, we 
discuss how the stress test applies loss rates in section 4.3 of 
this appendix entitled Risk Measures.
    e. Other data requirements. Other data elements are taxes paid 
over the previous 2 years, the corporate tax schedule, and 10-year 
CMT information as discussed in section 3.1 of this appendix 
entitled Process for Calculating the Interest Rate Movement. The 
stress test uses the corporate tax schedule and previous taxes paid 
to determine the appropriate amount of taxes, including loss carry-
backs and loss carry-forwards.

4.2  Assumptions and Relationships.

    a. The stress test assumptions are summarized on the worksheet 
called ``Assumptions and Relationships.'' Some of the entries on 
this page are direct user entries. Other entries are relationships 
generated from data supplied by Farmer Mac or other sources as 
discussed in section 4.1 of this appendix entitled Data Inputs. 
After current financial data are entered, the user selects the date 
for running the stress test. This action causes the stress test to 
identify and select the appropriate data from the ``Data Input'' 
worksheet. The next section highlights the degree of disaggregation 
needed to maintain reasonably representative characterizations of 
Farmer Mac in the stress test. Several specific assumptions are 
established about the future relationships of account balances, how 
they evolve, and at what magnitude.
    b. From the data and assumptions, the stress test computes pro 
forma financial statements for 10 years. The stress test will be run 
as a ``steady state'' with regard to program balances, and where 
possible, will use information gleaned from recent financial 
statement and other data supplied by Farmer Mac to establish 
earnings and cost relationships on major program assets that are 
applied forward in time. As documented in the stress test, entries 
of ``1'' imply no growth and/or no change in account balances or 
proportions relative to initial conditions. The interest rate risk 
and credit loss components are applied to the stress test through 
time. The individual sections of that worksheet are:
    (1) Elements related to cashflows, earnings rates, and 
disposition of discontinued program assets. (A) The stress test 
accounts for earnings rates by asset class and cost rates on 
funding. The level of detail is such that it should be easy to 
understand the contributions of costs and revenues by the major 
program activities of Farmer Mac. The stress test aggregates 
investments into the categories of: Cash and money market 
securities; commercial paper; certificates of deposit; agency 
mortgage-backed securities and collateralized mortgage obligations; 
and other investments. With our concurrence, Farmer Mac is permitted 
to further disaggregate these categories. Similarly, we may require 
new categories for future activities. Loan items requiring separate 
accounts include the following:
    (i) Farmer Mac I program assets post-1996 Act;
    (ii) Farmer Mac I program assets post-1996 Act Swap balances;
    (iii) Farmer Mac I program assets pre-1996 Act;
    (iv) Farmer Mac I AgVantage securities;
    (v) Loans held for securitization; and
    (vi) Farmer Mac II program assets.
    (B) The stress test also uses data elements related to 
amortization and prepayment experience to calculate and process the 
implied rates at which asset and liability balances terminate or 
``roll off'' through time. Further, for each category, the stress 
test has the capacity to track account balances that are expected to 
change through time for each of the above categories. For purposes 
of the stress test, all assets are assumed to maintain a ``steady 
state'' with the implication that any principal balances retired or 
prepaid are replaced with new balances. The exceptions are that 
expiring pre-1996 Act program assets are replaced with post-1996 Act 
assets.
    (2) Elements related to other balance sheet assumptions through 
time. As well as interest earning assets, the other categories of 
the balance sheet that are modeled through time include interest 
receivable, guarantee fees receivable, prepaid expenses, accrued 
interest payable, accounts payable, accrued expenses, reserves for 
losses (loans held and guaranteed securities), and other off-balance 
sheet obligations. The stress test is consistent with Farmer Mac's 
existing reporting categories and practices. If reporting practices 
change substantially, the above list would be adjusted accordingly. 
The stress test has the capacity to have the balances in each of 
these accounts determined based on existing relationships to other 
earning accounts, to keep their balances either in constant 
proportions of loan or security accounts, or to evolve according to 
a user-selected rule. For purposes of the stress test, these 
accounts are to remain constant relative to the proportions of their 
associated balance sheet accounts that generated the accrued 
balances.
    (3) Elements related to income and expense assumptions. Several 
other parameters that are required to generate pro forma financial 
statements may not be easily captured from historic data or may have 
characteristics that suggest that they be individually supplied. 
These parameters are the gain on agricultural mortgage-backed 
securities (AMBS) sales, miscellaneous income, operating expenses, 
reserve requirement, and guarantee fees. The stress test assumes a 
75 bp gain rate on sale of AMBS securities, recognizing that this 
parameter, while reasonably related to recent performance, may 
change with changes in market conditions. Miscellaneous income as a 
percentage of total assets contributes 2 bp to income. Fixed costs 
and variable costs are determined from historical financial data by 
running a linear regression (ordinary least squares) of operating 
expenses, excluding provision expense and taxes, to on-balance sheet 
investments and Farmer Mac program assets. The regression equation 
is:

    Y =  + X

    (A) Where Y is annualized operating expenses excluding provision 
and tax expenses, and X is investments and Farmer Mac program assets 
held on-balance sheet.
    (B) The regression provides estimates of fixed costs () 
and a variable cost rate

[[Page 61763]]

coefficient (). To run the stress test, the operating 
expense regression equation must be re-estimated by using data from 
Farmer Mac inception to the most recent quarterly financial 
information. For example, at June 30, 1999, fixed costs were 
estimated at $2,092 thousand per year and variable costs at 0.004330 
of investments and Farmer Mac program assets held on-balance sheet.
    (C) The reserve requirement as a fraction of loan assets is also 
specified, currently at 45 bp, and the corporate income tax is 
supplied as an input. However, the stress test is run with the 
reserve requirement set to zero. Setting the parameter to zero 
causes the stress test to calculate a risk-based capital level that 
is comparable to regulatory capital, which includes reserves. Thus, 
the risk-based capital requirement contains the regulatory capital 
required, including reserves. The amount of total capital that is 
allocated to the reserve account is determined by GAAP. The 
guarantee rates applied in the stress test are: Post-1996 Act Farmer 
Mac I assets (50 bp); pre-1996 Act Farmer Mac I assets (25 bp); and 
Farmer Mac II assets (25 bp).
    (4) Elements related to earnings rates and funding costs. (A) 
The stress test can accommodate numerous specifications of earnings 
and funding costs. In general, both relationships are tied to the 
10-year CMT interest rate. Specifically, each investment account, 
each loan item, and each liability account can be specified as fixed 
rate, or fixed spread to the 10-year CMT with initial rates 
determined by actual data. The stress test calculates specific 
spreads (weighted average yield less initial 10-year CMT) by 
category from the weighted average yield data supplied by Farmer Mac 
as described earlier. For example, the fixed spread for Farmer Mac I 
program post-1996 Act mortgages is calculated as follows:

Fixed Spread = Weighted Average Yield less 10-year CMT
    0.014 = 0.0694--0.0554

    (B) The resulting fixed spread of 1.40 percent is then added to 
the 10-year CMT when it is shocked to determine the new yield. For 
instance, if the 10-year CMT is shocked upward by 300 bp, the yield 
on Farmer Mac I Program post-1996 Act loans would change as follows:

Yield=Fixed Spread+10-year CMT
    .0994=.014+.0854

    (C) The adjusted yield is then used for income calculations when 
generating pro forma financial statements. All fixed spread asset 
and liability classes are computed in an identical manner using 
starting yields provided as data input from Farmer Mac. The fixed 
yield option holds the starting yield data constant for the entire 
10-year stress test period. You must run the stress test using the 
fixed spread option for all accounts except for discontinued program 
activities, such as Farmer Mac I Program loans made before the 1996 
Act. For discontinued loans, the fixed rate specification must be 
used if the loans are primarily fixed rate mortgages.
    (5) Elements related to interest rate shock test. As described 
earlier, the interest rate shock test is implemented as a single set 
of forward interest rates. The stress test applies the up-rate 
scenario and down-rate scenario separately. The stress test also 
uses the results of Farmer Mac's shock test, as described in 
paragraph (3) of section 4.1 of this appendix entitled Data Inputs, 
to calculate the estimated effective duration of assets and 
liabilities at a given interest rate change. The stress test uses 
estimated effective duration information to construct a linearly 
interpolated schedule that relates a change in interest rates to a 
change in the market value of assets and liabilities. For instance, 
if interest rates are shocked upward by 262 bp, the linearly 
interpolated effective estimated duration is -1.389 years given 
Farmer Mac's interest rate measurement results at 250 and 300 bp of 
-1.395 and -1.373 years, respectively. The stress test uses the 
linearly interpolated estimated effective duration for assets to 
calculate the market value change by multiplying duration with the 
total value of on-balance sheet assets and with the change in 
interest rates. An identical procedure must be followed for 
computing the market value change in liabilities for a change in 
interest rates.

4.3  Risk Measures.

    a. This section describes the elements of the stress test in the 
worksheet named ``Risk Measures'' that reflect the interest rate 
shock and credit loss requirements of the stress test.
    b. As described in section 3.1 of this appendix, the stress test 
applies the statutory interest rate shock to the initial 10-year CMT 
rate. It then generates a series of fixed annual interest rates for 
the 10-year stress period that serve as an index for earnings yields 
and cost of funds rates used in the stress test. See the ``Risk 
Measures'' worksheet for the resulting interest rate series used in 
the stress test.
    c. The blended loss rates by state, as described in section 2.5 
of this appendix entitled Calculation of Loss Rates for Use in the 
Stress Test, are entered into the ``Risk Measures'' worksheet and 
applied to the loan balances that exist in each state as reported in 
the initial loan portfolio of Farmer Mac. The initial distribution 
of loan balances by state is used to allocate new loans that replace 
loan products that roll off the balance sheet through time. The loss 
rates are applied both to the initial volume and to new loan volume 
that replaces expiring loans. The total life of loan losses that are 
expected at origination are then allocated through time based on a 
set of user entries describing the time-path of losses.
    d. The loss rates estimated in the credit risk component of the 
stress test are based on an origination year concept, adjusted for 
loan seasoning. All losses arising from loans originated in a 
particular year are expressed as a percent of that year's originated 
loan volume irrespective of when the losses actually occur. The 
allocations of the origination year loss rates that must be used are 
43 percent to year 1, 17 percent to year 2, 16 percent to year 3, 
and 3.4 percent for the remaining years. The total allocated losses 
in any year are expressed as a percent of loan volume in that year 
to reflect the conversion to exposure year.

4.4  Loan and Cashflow Accounts.

    The worksheet called ``Loan and Cashflow Data'' contains the 
categorized loan data and cashflow accounting that is used in the 
stress test in generating the projections of Farmer Mac's 
performance and condition. As can be seen in the worksheet, the 
steady-state formulation results in account balances that remain 
constant except for the effects of discontinued programs. For assets 
with maturity under 1 year, the results are reported for convenience 
as though they matured only one time per year with the additional 
convention that the earnings/cost rates are annualized. For the pre-
1996 Act assets, maturing balances are added back to post-1996 Act 
account balances. The liability accounts are used to satisfy the 
accounting identity. In addition to the replacement of maturities 
under a steady-state, liabilities are increased to reflect net 
losses or decreased to reflect resulting net gains. Adjustments must 
be made to the long-and short-term debt accounts to maintain the 
same relative proportions as existed at the beginning period from 
which the stress test is run. The primary receivable and payable 
accounts are also maintained on this worksheet, as is a summary 
balance of the volume of loans subject to credit losses.

4.5  Income Statements.

    a. Information related to income performance through time is 
contained in the worksheet called ``Income Statements.'' Information 
from the first period balance sheets is used in conjunction with the 
earnings and cost-spread relationships from Farmer Mac supplied data 
to generate the first period's income statement. The same set of 
accounts is maintained in this worksheet as ``Loan and Cashflow 
Accounts'' for consistency in reporting each annual period of the 
10-year stress period of the test. The income from each interest-
bearing account is calculated, as are costs of interest-bearing 
liabilities. In each case, these entries are the associated interest 
rate for that period multiplied by the account balances.
    b. The credit losses described in section 2.0 of this appendix, 
entitled Credit Risk, are transmitted through the provision account 
as is any change needed to re-establish the target reserve balance. 
For determining risk-based capital, the reserve target is set to 
zero as described in section 4.2 of this appendix entitled 
Assumptions and Relationships. Under the income tax section, you 
must first determine whether it is appropriate to carry forward tax 
losses or recapture tax credits. The tax section then establishes 
the appropriate income tax liability that permits the calculation of 
final net income (loss) which is credited (debited) to the retained 
earnings and the paid-in capital account.

4.6  Balance Sheets.

    a. The worksheet named ``Balance Sheets'' is used to construct 
pro forma balance sheets from which the capital calculations can be 
performed. As can be seen in the Excel spreadsheet, the worksheet is 
organized to correspond to Farmer Mac's normal reporting practices. 
Asset accounts are built from the initial financial statement 
conditions, and loan and cashflow accounts. Liability accounts 
including the reserve account are likewise built from the previous 
period's results to balance the asset and equity

[[Page 61764]]

positions. The equity section uses initial conditions and standard 
accounts to monitor equity through time. The equity section 
maintains separate categories for increments to paid-in-capital and 
retained earnings and for mark-to-market effects of changes in 
account values. The process described below in the ``Capital'' 
worksheet uses the initial retained earnings and paid-in-capital 
account to test for the change in initial capital that permits 
conformance to the statutory requirements. Therefore, these accounts 
must be maintained separately for test solution purposes.
    b. The market valuation changes due to interest rate movements 
must be computed utilizing the linearly interpolated schedule of 
estimated effective duration information contained in the 
``Assumptions and Relationships'' worksheet. The stress test 
calculates the change in the market value of assets by multiplying 
total assets, the linearly interpolated estimated effective duration 
assets, and the change in interest rate. The changes in the market 
values of liabilities are calculated in a similar manner using total 
liabilities, the effective estimated duration of liabilities, and 
the change in interest rate. The changes in market value of assets 
and liabilities are then netted to Farmer Mac's capital position. 
This approach ensures that the value of capital reflects the 
economic loss or gain in value of Farmer Mac's capital position from 
a change in interest rates.
    c. The stress test considers Farmer Mac's balance sheet as 
consisting primarily of available-for-sale assets. Therefore, Farmer 
Mac's capital position should reflect mark-to-market changes in the 
value of assets and liabilities. This approach ensures that the 
stress test captures interest rate risk in a meaningful way by 
addressing explicitly the loss or gain in value resulting from the 
change in interest rates required by the statute.
    d. After one cycle of income has been calculated, the balance 
sheet as of the end of the income period is then generated. The 
``Balance Sheet'' worksheet shows the periodic pro forma balance 
sheets in a format convenient to track capital shifts through time.

4.7  Capital.

    The ``Capital'' worksheet contains the results of the required 
capital calculations as described below, and provides a method to 
calculate the level of initial capital that would permit Farmer Mac 
to maintain positive capital throughout the 10-year stress test 
period.

5.0  Capital Calculations.

    a. The stress test computes regulatory capital as the sum of the 
following:
    (1) The par value of outstanding common stock;
    (2) The par value of outstanding preferred stock;
    (3) Paid-in capital;
    (4) Retained earnings; and
    (5) Reserve for loan and guarantee losses.
    b. Inclusion of the reserve account in regulatory capital is an 
important difference compared to minimum capital as defined by the 
statute. Therefore, the calculation of reserves in the stress test 
is also important because reserves are reduced by loan and guarantee 
losses. The reserve account is linked to the income statement 
through the provision for loan loss expense (provision). Provision 
expense reflects the amount of current income necessary to rebuild 
the reserve account to acceptable levels after loan losses reduce 
the account or as a result of increases in the level of risky 
mortgage positions, both off-and on-balance sheet. Provision 
reversals represent reductions in the reserve levels due to reduced 
risk of loan losses or loan volume of risky mortgage positions. When 
calculating the stress test, the reserve is maintained at zero to 
result in a risk-based capital requirement that includes reserves, 
thereby making the requirement comparable to the statutory 
definition of regulatory capital. By setting the reserve requirement 
to zero, the capital position includes all financial resources 
Farmer Mac has at its disposal to withstand risk.

5.1  Method of Calculation.

    a. Risk-based capital is calculated in the stress test as the 
minimum initial capital that would permit Farmer Mac to remain 
solvent for the following 10 years. To this amount, an additional 30 
percent is added to account for managerial and operational risks not 
reflected in the specific components of the stress test.
    b. The relationship between the solvency constraint (i.e., 
future capital position not less than zero) and risk-based capital 
requirement reflects the appropriate earnings and funding cost rates 
that may vary through time based on initial conditions. Therefore, 
the minimum capital at a future point in time cannot be directly 
used to determine the risk-based capital requirement. To calculate 
the risk-based capital requirement, the stress test includes a 
section to solve for the minimum initial capital value that results 
in a minimum capital level over the 10 years of zero at the point in 
time that it would actually occur. In solving for initial capital, 
you must assume that reductions or additions to the initial capital 
accounts are made in the retained earnings accounts, and are 
balanced in the debt accounts at terms proportionate to initial 
balances (same relative proportion of long- and short-term debt at 
existing initial rates). Because the initial capital position 
affects the earnings, and hence capital positions and appropriate 
discount rates through time, the initial and future capital are 
simultaneously determined and must be solved iteratively. To 
implement this calculation, you can either find the reduction/
increase in initial capital needed that results in a zero excess 
minimum capital balance or utilize the ``solver'' utility of Excel 
to more efficiently locate the solution. The resulting minimum 
initial capital from the stress test is then reported on the 
``Capital'' worksheet of the stress test. The ``Capital'' worksheet 
includes an element that uses Excel's ``solver'' capability to 
calculate the minimum initial capital that, when added (subtracted) 
from initial capital and replaced with debt results in a minimum 
capital balance over the following 10 years of zero.

    Dated: November 3, 1999.
Vivian L. Portis,
Secretary, Farm Credit Administration Board.
[FR Doc. 99-29214 Filed 11-10-99; 8:45 am]
BILLING CODE 6705-01-P