By: |
Yan, Yan;
Barry, Peter;
Paulson, Nicholas;
Schnitkey, Gary |
Abstract: |
The study addresses problems in measuring credit risk under the structure
model, and then proposes a seemingly unrelated regression model (SUR) to
predict farmsâ ability in meeting their current and anticipated obligations in
the next 12 months. The empirical model accounts for both the dependence
structure and the dynamic feature of the structure model, and is used for
estimating asset correlation using FBFM data for 1995-2004. Farm credit risk
is then predicted by copula based simulation process with historical default
rates as benchmark. Results are reported and compared to previous studies on
farm default. |
Keywords: |
Credit Risk Measurement, Seemingly Unrelated Regression Model, Simulation, Agribusiness, Agricultural Finance, Farm Management, Research Methods/ Statistical Methods, Risk and Uncertainty, |
Date: |
2009 |
URL: |
http://d.repec.org/n?u=RePEc:ags:aaea09:49222&r=cfn |