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Ellinger,
Barry, and Mazzocco / Farm
Real Estate Lending by Commercial Banks
Pederson
/ Determinates
of Crop Insurance Protection at Agricultural Banks
Robison,
Hanson, and Lins / A
Present Value Analysis of Land Transactions and the Proportion of Seller
Financing
Koenig
and Rossi / Which
Banks Will Participate in Farmer Mac?
Turvey
and Brown / Credit
Scorning for a Federal Lending Institution: The Case of Canada's Farm
Credit Corporation
Irwin
and Colling / Are
Farm Asset Values Too Volatile?
Boone
and Nixon / Tax
Reform, Rural Community Banks, and Municipal Bonds
Moss,
Shonkwiler, and Ford / A
Risk Endogenous Model of Aggregate Agricultural Debt
Featherstone,
Preckel, and Baker / Modeling
Farm Financial Decisions in a Dynamic and Stochastic Environment
Johnston
and Frengly / Financial
Stress on New Zealand Sheep and Beef Farms: Analysis of Change in Financial
Performance under Deregulation
Duncan,
Gajewski, and Burkhart / Farm
Banks in the Energy Belt: A Double Whammy?
Rao
and Pederson / Calculation
of Loan Losses: Restructuring Versus Foreclosure: A Comment
Lins
and Robison / Calculation
of Loan Losses: Restructuring Versus Foreclosure: A Replay
Abstracts
Ellinger,
Barry, and Mazzocco / Farm
Real Estate Lending by Commercial Banks
<top>
Commercial
banks experienced increases in farm real estate loan volume in the mid-1980s
and in market shares of farm debt while other lenders were experiencing
declines. This article presents results from a survey of Midwestern
commercial banks about thier historical and anticipated farm real estate
lending practices and policies. The results indicate the growth
in farm real estate loans is dominated by purchases of farm real estate. The heavy reliance by responding banks, especially smaller ones, on
a fixed-rate loans with short maturities and balloon payments may represent
a tradeoff between a reduction in the bank's interest-rate risk and
increases in a borrower's credit risk.
Pederson
/ Determinates
of Crop Insurance Protection at Agricultural Banks <top>
A model
is developed to analyze the role of lender characteristics as determinants
of the level of crop insurance protection on bank loan portfolios. Logistic
regression of the data from a sample of agricultural banks supports
the hypothesis that bankers use crop insurance as a specialized source
of liquidity. Crop insurance protection is found to vary according
to specialization of the bank in farm loans, profitability of the bank,
and presence of a crop insurance agency in the bank.
Robison,
Hanson, and Lins / A
Present Value Analysis of Land Transactions and the Proportion of Seller
Financing <top>
This paper
deduces maximum bid and minimum sell price models with and without seller
financing to assist in explaining recently observed trends in land sales. With the decline in land values and the passage of the Tax Reform Act
of 1986, land transactions have increased while the percentage of land
sales financed by sellers has decreased. This paper uses a present
value framework to explain both trends.
Koenig
and Rossi / Which
Banks Will Participate in Farmer Mac?
<top>
Participation
of financial institutions in the Farmer Mac secondary mortgage market
requires the purchase of voting stock in the corporation. Characteristics
of commercial banks, the largest class of stockholders, are examined
empirically to determine how they might participate in the new market
for agricultural and rural-housing mortgages. Geographic concentration
of participating banks in the Upper Midwest has important implications
for the sensitivity of the securities to that region's economic health. Participants are small and specialized in agricultural lending. In general, the favorable condition of these firms suggests a stable,
but not necessarily large, secondary market.
Turvey
and Brown / Credit
Scorning for a Federal Lending Institution: The Case of Canada's Farm
Credit Corporation <top>
This paper
discusses and develops a credit-scoring model for Canada's Farm Credit
Corporation. Results of logistic regression verify the importance
of liquidity, leverage, profitability, efficiency, and debt-repayment
capacity as important determinants of default risk. Moreover,
the model illustrates how analysis of covariance can be incorporated
into a credit-scoring model to account for differences between regions
and farm types.
Irwin
and Colling / Are
Farm Asset Values Too Volatile?
<top>
The research
reported in the paper examined the volatility of U.S. farm asset values. Specifically, a variance bounds test was applied to real farm asset
returns and values over the 1910-1989 period. The results showed
that the standard deviation of actual farm asset values was 2.42 times
greater than that of its ex post rational counterpart. Hence,
a null hypothesis of excess volatility in farm asset values could not
be rejected. Further, the results were not sensitive to alternative
assumptions regarding the sample period, discount rate, or terminal
value.
Boone
and Nixon / Tax
Reform, Rural Community Banks, and Municipal Bonds <top>
This study
examines the impact of current and proposed changes in the alternative
minimum tax on the rural community bank holdings of municipal bonds. Trends in the federal tax law encourage shifting of community-bank investments
portfolios away from municipal bonds to taxable bonds. Portfolio
shifting will likely cause an increase in funding costs with a resultant
decrease in rural-community capital-development projects.
Moss,
Shonkwiler, and Ford / A
Risk Endogenous Model of Aggregate Agricultural Debt <top>
Several
factors interact to determine the optimal capital structure for a sole-proprietorship. The most important of these are the expected return on assets, the cost
of additional capital, and the riskiness of the enterprise. This
study uses an auto regressive conditional heteroskedastic (ARCH) model
to estimate the effect of each of these factors on the level of debt
in U.S. agriculture. The results indicate that debt increases
as the expected returns increase and decrease as predicted variance
increases.
Featherstone,
Preckel, and Baker / Modeling
Farm Financial Decisions in a Dynamic and Stochastic Environment <top>
Stochastic
and dynamic linkages brought about by liquidity risk, and credit-reserve
risk are important elements in capital-structure and investment decisions. Discrete stochastic programming (DSP) is one quantitative tool that
can be used to capture the sequential and stochastic nature of farm
capital-structure choices. Three steps in specifying a DSP are
examined for a capital-structure application: (1) definition of the
constraints, (2) definition of the probability model, (3) specification
of the objective function. The effect of the functional form of
the utility function on the optimal solution is discussed.
Johnston
and Frengly / Financial
Stress on New Zealand Sheep and Beef Farms: Analysis of Change in Financial
Performance under Deregulation <top>
A variety
of government assistance programs introduced during the 1970s and early
1980s promoted high levels of financial leverage in New Zealand agriculture. Many of the programs have since been terminated in the post-1984 period
of economic liberalization, leaving behind a persistent legacy of financial
stress and debt overburden. Analysis of financial changes on New
Zealand sheep and Beef farms provides insight on these dual effects-
first that of amassing substantial financial-assistance programs over
time and then removing them in a singular action. Financial measures
and ratios are used to trace the changing fortunes of sheep and beef
farms affected by these policies.
Duncan,
Gajewski, and Burkhart / Farm
Banks in the Energy Belt: A Double Whammy?
<top>
This paper
shows the simultaneous contractions in the farm and energy sectors did
not, for the most part, hit farm banks in energy-dependant areas as
hard as their nonfarm regional counterparts. Loan losses were
more severe for banks in energy-dependant areas that concentrated on
lending to the non-farm sectors. However, farm banks in the "energy
belt" performed less well than farm banks elsewhere. A simple
regression model is used to establish an empirical link between bank
nonperforming-loan levels and farm income. Financial ratio analysis
is then used by type and region during 1982-88.
Rao
and Pederson / Calculation
of Loan Losses: Restructuring Versus Foreclosure: A Comment <top>
Lins and
Robison provide a useful discussion of the issues involved in the calculation
of loan losses when considering the alternatives of restructuring and
foreclosure. Our comment focuses on two major issues discussed
by Lins and Robison: the assessment of cash flows on restructured loans
and what discount rate to use when making the net present value (NPV)
calculations.
Lins
and Robison / Calculation
of Loan Losses: Restructuring Versus Foreclosure: A Replay <top>
Rao
and Pederson focus their comments on the assessment of cash flows for
restructured loans and the discount rate to use when making net present
value (NPV) calculations. A stated in out article, "losses
from structuring are typically measured as the difference between the
current balance of principle and accrued interest compared with the
net present value of cash flows arising from the terms of the restructured
loan." So, in calculating losses from loan restructuring,
we have no disagreement with including concessions made by the borrowers. Moreover, our proposed methodology does not preclude such inclusion. Thus, if the restructured loan includes concessions by the borrower
in the form of applying existing stock against the loan balance, obviously
they should be considered even though we did make explicit mention of
this detail in out paper. Rao and Pederson make an important point
by emphasizing the role of stock concessions by borrowers when calculating
loan losses from restructuring.
Send
questions and comments to Faye Butts: fsb1@cornell.edu
This
page was last modified on:
04/06/04
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