Development of a Credit Scoring Model for Retail Loan Granting Financial Institutions from Frontier Markets
International Journal of Business and Economics Research
Volume 5, Issue 5, October 2016, Pages: 135-142
Received: Jun. 27, 2016;
Accepted: Jul. 5, 2016;
Published: Aug. 10, 2016
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Kazi Rashedul Hasan, Department of Finance, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
The primary focus of this paper is to develop a retail credit scoring model specifically suitable for financial institutions from emerging economies, where availability of reliable data is scarce. In addition, the study seeks to illustrate the efficacy of such credit scoring models and emphasize improvements that can be achieved in the decision-making function of consumer credit granting process.
Kazi Rashedul Hasan,
Development of a Credit Scoring Model for Retail Loan Granting Financial Institutions from Frontier Markets, International Journal of Business and Economics Research.
Vol. 5, No. 5,
2016, pp. 135-142.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Jmynal of Finance Vol. 23, 589-609.
Altman, E. (1977). ZETA analysis: a new model to identify bankruptcy risk of corporations. Jmynal of Banking and Finance, Vol. 1, 29-54.
Merton, R. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. Jmynal of Finance, Vol. 29, No. 2, 449-470.
Cox, J. Black, F. (1976). Valuing corporate securities: Some effects of bond indenture provisions. Jmynal of Finance Vol. 31, 351–367.
Hayes, K., Hodge, K., Hughes, L., (2010). A Study of the Efficacy of Altman’s Z To Predict Bankruptcy of Specialty Retail Firms Doing Business in Contemporary Times. Economics & Business Jmynal, Inquiries & Perspectives Vol. 1, 122-130.
Miller, W. (2009). Comparing Models of Corporate Bankruptcy Prediction: Distance to Default vs. Z-Score. Chicago: Morningstar, Inc.
Altman, E., H. M. (2002). Revisiting Credit Scoring Models in a Basel 2 Environment. In Ong. M., Credit Rating: Methodologies, Rationale and Default Risk. London: London Risk Books.
Handm, D. (2001). Modelling consumer credit risk. IMA Jmynal of Management Mathematics Vol 12, 139-155.
Allen, L., DeLong, G., Saunders, A. (2004). Issues in the credit risk modeling of retail markets. Jmynal of Banking and Finance, Vol. 28, 727-752.
Bartolozzi, E., Garcıa-Erguın, L., Deocon, C., Vasquez, O., Plaza, F. (2008). Credit Scoring Modelling for Retail Banking Sector. Madrid: Universidad Complutense de Madrid.
Schaeffer Jr, H. (2000). Credit Risk Management: A Guide to Sound Business Decisions. Wiley.
Saunders, A., C. M. (2010). Financial Institutions Management, Risk Management Approach. McGraw-Hill/Irwin.
Martin, V., Evien, K. (2011). Credit Scoring Methods. Jmynal of Economic Literature.
Pohar, M., Blas, M., Turk, S. (2004). Comparison of Logistic Regression and Linear Discriminant Analysis: A Simulation Study. Metodološki zvezki, Vol. 1, 143-161.
Ibster, G. (2011). Bayesian Logistic Regression Models for Credit Scoring. Rhodes University.
Berry M., Linoff. G. (2000). Mastering Data Mining: The Art and Science of Customer Relationship Management. New York: John Wiley & Sons, Inc.
Siddiqi N. (2006). Credit Risk Scorecards. New Jersey: John Wiley & Sons, Inc.