STOCHASTIC DYNAMIC MODELING: AN AID TO AGRICULTURAL LENDER DECISION MAKING

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dc.creatorGustafson, Cole R.
dc.date2017-04-01T13:53:12Z
dc.date.accessioned2026-07-09T04:17:16Z
dc.descriptionFactors affecting a lender'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 lender's discount rate, a borrower's repayment status, and patronage. The value of credit scoring models that appraise a borrower's credit worthiness also is determined.
dc.identifierdoi:10.22004/ag.econ.32463
dc.identifierhttps://ageconsearch.umn.edu/record/32463/files/14010157.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/32463
dc.identifier.urihttp://hdl.handle.net/123456789/547630
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/32463
dc.titleSTOCHASTIC DYNAMIC MODELING: AN AID TO AGRICULTURAL LENDER DECISION MAKING
dc.typeText

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