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Credit Screening System Selection

Published online by Cambridge University Press:  19 October 2009

Extract

Recent financial literature has discussed how a creditor should determine its investigation and extension policy. Mehta [8,9] has developed a sequential process for credit extension, and others [1,2,4,7,10,12,14] have used credit-scoring functions to develop decisions rules. Instead of discussing the use of a particular system or the development of a new system, this paper shifts the focus to selection of the best of alternative systems. Different creditors face different profit-loss ratios on loans, business volume, and prior probabilities of good and bad customers. Furthermore, since the alternative systems have different initial costs, effectiveness, and investigation costs per application, no one system is optimal for all creditors. Finally, any credit-scoring alternative declines in effectiveness over time. Measurement of the overall effectiveness of a system requires that the optimal time between updating the system be known.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 1976

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References

REFERENCES

[1]Boggess, William P.Screen-Test Your Credit Risks.” Harvard Business Review (November–December 1967), pp. 113122.Google Scholar
[2]Edmister, Robert O.Financial Ratios and Credit Scoring for Small Business Loans.” Journal of Commercial Bank Lending (September 1971), pp. 1023.Google Scholar
[3]Edmister, Robert O., and Schlarbaum, Gary G.. “Credit Policy in Lending Institutions.” Journal of Financial and Quantitative Analysis (June 1974), pp. 335356.CrossRefGoogle Scholar
[4]Hettenhouse, George W., and Wentworth, Jack R.. “Credit Analysis Model—A New Look for Credit Scoring.” Journal of Commercial Bank Lending (December 1971), pp. 2632.Google Scholar
[5]Hotelling, Harold.A General Mathematical Theory of Depreciation.” Journal of the American Statistical Association (September 1925), pp. 340353.CrossRefGoogle Scholar
[6]Johnson, Robert W.Capital Budgeting. Belmont, Calif.: Wadsworth Publishing Company, Inc. (1970).Google Scholar
[7]Long, Michael S. “Credit Scoring Development for Optimal Credit Extension and Management Control.” Unpublished Ph.D. dissertation, Purdue University (August 1973).Google Scholar
[8]Mehta, Dileep.The Formulation of Credit Policy Models.” Management Science (October 1968), pp. 3050.CrossRefGoogle Scholar
[9]Mehta, Dileep.Optimal Credit Policy Selection: A Dynamic Approach.” Journal of Financial and Quantitative Analysis (December 1970), pp. 421444.CrossRefGoogle Scholar
[10]Myers, J. H., and Forgy, E. W.. “Development of Numerical Credit Evaluation Systems.” Journal of the American Statistical Association (September 1963), pp. 118127.Google Scholar
[11]Myers, Robert A.Equipment Replacement under Uncertainty.” Management Science (July 1971), pp. 750757.Google Scholar
[12]Smith, Paul F.Measuring Risk on Consumer Installment Credit.” Management Science (November 1964), pp. 327340.CrossRefGoogle Scholar
[13]Smith, Vernon L.Investment and Production. Cambridge: Harvard University Press (1961).Google Scholar
[14]Weingartner, M. H.Concepts and Utilization of Credit-Scoring Techniques.” Banking (February 1966), pp. 5153.Google Scholar