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A two-stage least cost credit scoring model

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Abstract

A least cost two-stage credit scoring model is developed and evaluated. The model is two-stage in the sense reflected by existing practice. That is, based on preliminary information, a decision is made to grant credit, deny credit, or to seek additional information before making a decision. If additional information is sought, the decision goes to the second stage, where a final decision to grant or deny credit is made. The model is based on an integer programming formulation that attempts to minimize the total combined cost of granting credit to likely defaulters, denying credit to likely payers, and for obtaining all of the information that is required to make the decisions.

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References

  1. W. Alexander, What's the score?, ABA Banking Journal (August 1989)58–63.

  2. W.J. Banks and P.L. Abad, An efficient optimal solution algorithm for the classification problem, Decision Sciences 22(1991)1008–1023.

    Google Scholar 

  3. W.J. Boyes, D.L. Hoffman and S.A. Low, An econometric analysis of the bank credit scoring problem, Journal of Econometrics 40(1989)3–14.

    Article  Google Scholar 

  4. P. Chalos, The superior performance of loan review committees, The Journal of Commercial Bank Lending (December 1985)60–66.

  5. G.G. Chandler and L.E. Parker, The predictive value of credit bureau reports, Journal of Retail Banking 11(Winter 1989)47–54).

    Google Scholar 

  6. R.O. Edmister, Combining human credit analysis and numerical credit scoring for business failure prediction, Akron Business and Economic Review 19(Fall 1988)6–14.

    Google Scholar 

  7. W.V. Gehrlein, General mathematical programming formulations for the statistical classification problem, Operations Research Letters 5(1986)299–303.

    Article  Google Scholar 

  8. W.V. Gehrlein and V. Gempesaw, A cost minimization approach to classification, Proceedings of the National Decision Sciences Institute Meeting, November, 1991, pp. 1162–1163.

  9. R.A. Johnson and D.W. Wickern, Applied Multivariate Statistical Analysis, Prentice-Hall, 1988, pp. 525–526.

  10. K.J. Leonard and W.J. Banks, Automating the credit decision process, Journal of Retail Banking 16(1994)39–44.

    Google Scholar 

  11. C. Loucopoulos and R. Pavur, A modified form of a general mathematical programming formulation for the statistical classification problem, Mimeograph, 1991.

  12. D. Mehta, The formulation of credit policy models, Management Science 15(1968)B30–B-50.

    Article  Google Scholar 

  13. G.A. Overstreet and R.S. Kemp, Managing control in credit scoring systems, Journal of Retail Banking 8(1986)79–86.

    Google Scholar 

  14. R.C. Soltysik and P.R. Yarnold, Determining a lower bound for M in multivariable optimal discriminant analysis, Mimeograph, 1991.

  15. A. Wynn, Credit scoring for mobile communications, Credit Management (1991)32.

  16. A. Wynn, A fresh look at the old duo, Credit Management (1991)36–37.

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Gehrlein, W.V., Wagner, B.J. A two-stage least cost credit scoring model. Annals of Operations Research 74, 159–171 (1997). https://doi.org/10.1023/A:1018914219633

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  • DOI: https://doi.org/10.1023/A:1018914219633

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