Credit Risk Models: An Application to Agricultural Lending
Credit risk models are developed and used to estimate capital requirements for agricultural lenders under the New Basel Capital Accord. The theoretical models combine Merton’s distance-to-default approach with credit value-at-risk methodologies. Two applied models, CreditMetrics and KMV, are illustrated using farm financial data. Expected and unexpected losses for a portfolio of farms are calculated using probability of default, loss given default, and portfolio risk measures. The results show that credit quality and correlations among farms play a significant role in risk pricing for agricultural lenders.
|Date of creation:||2003|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.agfin.ifas.ufl.edu/|
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- Stokes, Jeffrey R. & Brinch, Brian M., 2001. "Valuing Agricultural Mortgage-Backed Securities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(03), December.
- Featherstone, Allen M. & Schurle, Bryan W. & Duncan, Steven S. & Postier, Kevin D., 1993. "Clearance Sales In The Farmland Market?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(02), December.
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