On the applicability of credit scoring models in Egyptian banks

Banks and Bank Systems

Volumn 2, Issue 1, 2007, Pages 4-20

  Abdou, Hussein ^a   El Masry, Ahmed ^a   Pointon, John ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Classification; Credit scoring models; Discriminant analysis; Egyptian banks; Logistic regression; Probit analysis

Indexed keywords

EID: 84901631681     PISSN: 18167403     EISSN: 19917074     Source Type: Journal    
DOI: None     Document Type: Article

References (42)

1. Altman, E.I. 1968. Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, XXIII: 589-609.
2. Anderson, T.W. 2003. An Introduction to Multivariate Statistical Analysis. New York: Wiley-Interscience.
3. Baesens, B., T. Van Gestel, S. Viaene, M. Stepanova, J. Suykens, and J. Vanthienen. 2003. Benchmarking State-of-the-Art Classification Algorithms for Credit Scoring. Journal of the Operational Research Society, 54: 627-635.
4. Bailey, M. 2001. Credit Scoring: The Principles and Practicalities. Kingswood, Bristol: White Box Publishing.
5. Banasik, J., J. Crook, and L. Thomas. 2001. Scoring by Usage. Journal of the Operational Research Society, 52: 997-1006.
6. Banasik, J., J. Crook, and L. Thomas. 2003. Sample Selection Bias in Credit Scoring Models. Journal of the Operational Research Society, 54: 822-832.
7. Bluhm, C., L. Overbeck, and C. Wagner. 2003. An Introduction to Credit Risk Modeling. London: Chapman & Hall/CRC.
8. Boyes, W.J., D.L. Hoffman, and S.A. Low. 1989. An Econometric Analysis of the Bank Credit Scoring Problem. Journal of Econometrics, 40: 3-14.
9. Blochlinger, A. and M. Leippold. 2006. Economic benefit of powerful credit scoring. Journal of Banking and Finance, 30: 851-873.
10. Caouette, J.B., E.I. Altman, and P. Narayanan. 1998. Managing Credit Risk: The Next Great Financial Challenge. New York: John Wiley & Sons Inc.
11. Chen, M., and S. Huang. 2003. Credit Scoring and Rejected Instances Reassigning Through Evolutionary Computation Techniques. Expert Systems with Applications 24: 433-441.
12. Desai, V.S., J.N. Crook, and G.A. Overstreet. 1996. A Comparison of Neural Networks and Linear Scoring Models in the Credit Union Environment. European Journal of Operational Research, 95: 24-37.
13. Durand, D. 1941. Risk Elements in Consumer Instalment Financing, Studies in Consumer Instalment Financing. New York: National Bureau of Economic Research.
14. Fisher, R.A. 1936. The Use of Multiple Measurements in Taxonomic Problems. Annals of Eugenics, 7: 179-188.
15. Greene, W. 1998. Sample Selection in Credit-Scoring Models. Japan and the World Economy, 10: 299-316.
16. Guillen, M. and M. Artis. 1992. Count Data Models for a Credit Scoring System. The European Conference Series in Quantitative Economics and Econometrics on Econometrics of Duration, Count and Transition Models. Paris.
17. Hand, D.J. 1981. Discrimination and Classification. New York: John Wiley & Sons Inc.
18. Hand, D.J., and W.E. Henley. 1997. Statistical Classification Methods in Consumer Credit Scoring: A Review. Journal of the Royal Statistical Society: Series A (Statistics in Society), 160: 523-541.
19. Hoffmann, F., B. Baesens, C. Mues, T. Van Gestel and J. Vanthienen. 2007. Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. European Journal of Operational Research, 177: 540-555.
20. Johnson, R.A., and D.W. Wichern. 2002. Applied Multivariate Statistical Analysis. Prentice Hall.
21. Kim, Y.S. and S.Y. Sohn. 2004. Managing Loan Customers Using Misclassification Patterns of Credit Scoring Model. Expert Systems with Applications, 26: 567-573.
22. Lee, T. and I. Chen. 2005. A Two-Stage Hybrid Credit Scoring Model Using Artificial Neural Networks and Multivariate Adaptive Regression Splines. Expert Systems with Applications, 28: 743-752.
23. Lee, T., C. Chiu, C. Lu, and I. Chen. 2002. Credit Scoring Using the Hybrid Neural Discriminant Technique. Expert Systems with Applications, 23: 245-254.
24. Leonard, K.J. 1995. The Development of Credit Scoring Quality Measures for Consumer Credit Application. International Journal of Quality & Reliability Management, 12: 79-85.
25. Lewis, E.M. 1992. An Introduction to Credit Scoring. California: Fair, Isaac and Co., Inc.
26. Lim, M.K. and S.Y. Sohn. 2007. Cluster-based dynamic scoring model. Expert Systems with Applications, 32: 427-431.
27. Long, M.S. 1973. Credit Scoring Development for Optimal Credit Extension and Management Control. College on Industrial Management, Georgia Institute of Technology. Atlanta Georgia: Purdue University.
28. Maddala, G.S. 2001. Introduction to Econometrics. Chichester: John Wiley & Sons Inc.
29. Mays, E. 2001. Handbook of Credit Scoring. Chicago: Glenlake Publishing Company, Ltd.
30. Neter, J., M.H. Kutner, W. Wasserman, and C.J. Nachtsheim. 1996. Applied Linear Statistical Models. Chicago: McGraw-Hill/Irwin.
31. Ong, C., J. Huang, and G. Tzeng. 2005. Building Credit Scoring Models Using Genetic Programming. Expert Systems with Applications, 29: 41-47.
32. Orgler, Y.E. 1971. Evaluation of Bank Consumer Loans with Credit Scoring Models. Journal of Bank Research, 2: 31-37.
33. Pindyck, R.S. and D.L. Rubinfeld. 1997. Econometric Models and Economic Forecasts. McGraw-Hill/Irwin.
34. Sarlija, N., M. Bensic, and Z. Bohacek. 2004. Multinomial Model in Consumer Credit Scoring, 10th International Conference on Operational Research. Trogir: Croatia.
35. Siddiqi, N. 2006. Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring. New Jersey: John Wiley & Sons, Inc.
36. Steenackers, A., and M.J. Goovaerts. 1989. A Credit Scoring Model for Personal Loans. Insurance: Mathematics and Economics, 8: 31-34.
37. Sullivan, A.C. 1981. Consumer Finance, in Altman, E.I. Financial Handbook. New York: John Wiley & Sons.
38. Thomas, L.C., D.B. Edelman, and L.N. Crook. 2002. Credit Scoring and Its Applications. Philadelphia: Society for Industrial and Applied Mathematics.
39. Thompson, P. 1998. Bank Lending and the Environment: Policies and Opportunities. International Journal of Bank Marketing, 16: 243-252.
40. West, D. 2000. Neural Network Credit Scoring Models. Computers & Operations Research, 27: 1131-1152.
41. www.cbe.org.eg.
42. Yang, Z., Y. Wang, Y. Bai, and X. Zhang. 2004. Measuring Scorecard Performance. Computational Science, 3039: 900-906.