Bank lending policy, credit scoring and value-at-risk
In this paper we apply a bivariate probit model to investigate the implications of bank lending policy. In the first equation we model the bank´s decision to grant a loan, in the second the probability of default. We confirm that banks provide loans in a way that is not consistent with default risk minimization. The lending policy must thus either be inefficient or be the result of some other type of optimizing behavior than expected profit maximization. Value at Risk, being a value weighted sum of individual risks, provides a more adequate measure of monetary losses on a portfolio of loans than default risk. We derive a Value at Risk measure for the sample portfolio of loans and show how analyzing this can enable financial institutions to evaluate alternative lending policies on the basis of their implied credit risk and loss rate, and make lending rates consistent with the implied Value at Risk.
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- Boyes, William J. & Hoffman, Dennis L. & Low, Stuart A., 1989. "An econometric analysis of the bank credit scoring problem," Journal of Econometrics, Elsevier, vol. 40(1), pages 3-14, January.
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- Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
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- Jaffee, Dwight & Stiglitz, Joseph, 1990. "Credit rationing," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 2, chapter 16, pages 837-888 Elsevier.
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- Stephen D. Williamson, 1987. "Costly Monitoring, Loan Contracts, and Equilibrium Credit Rationing," The Quarterly Journal of Economics, Oxford University Press, vol. 102(1), pages 135-145.
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