Stochastic Dynamic Modeling: An Aid To Agricultural Lender Decision Making
AbstractFactors affecting a lenderÂ’s decision to grant farmers operating credit in North Dakota are quantified in an intertemporal loan profitability model using stochastic dynamic programming. Experimental data obtained from a panel of lenders demonstrates the sensitivity of an optimal policy to changes in a lenderÂ’s discount rate, a borrowerÂ’s repayment status, and patronage. The value of credit scoring models that appraise a borrowerÂ’s credit worthiness also is determined.
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Bibliographic InfoArticle provided by Western Agricultural Economics Association in its journal Western Journal of Agricultural Economics.
Volume (Year): 14 (1989)
Issue (Month): 01 (July)
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- Saxowsky, David M. & Gustafson, Cole R. & Ali, Mir B. & Braaten, Joan M. & Rotering, Jeff, 1987. "Economic Impact of North Dakota Laws that Permit Delayed or Partial Repayment of Agricultural Debt � July 1, 1986," Agricultural Economics Reports 23462, North Dakota State University, Department of Agribusiness and Applied Economics.
- Gustafson, Cole R. & Barry, Peter J. & Sonka, Steven T., 1988. "Machinery Investment Decisions: A Simulated Analysis For Cash Grain Farms," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(02), December.
- Simon, Herbert A., 1984. "On the behavioral and rational foundations of economic dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 5(1), pages 35-55, March.
- Mjelde, James W. & Harris, Wesley D. & Conner, J. Richard & Schnitkey, Gary D. & Glover, Michael K. & Garoian, Lee, 1992. "Existence Of Unique Limiting Probability Vectors In Stochastic Processes With Multiple Transition Matrices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(02), December.
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