Stochastic Dynamic Modeling: An Aid To Agricultural Lender Decision Making
Factors 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.
Volume (Year): 14 (1989)
Issue (Month): 01 (July)
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- 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.
- 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.
- 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.
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