A successful neural network-based methodology for predicting small business loan default

Credit & Financial Management Review, Fourth Quarter 2001 by Yegorova, Irena, Andrews, Bruce H, Jensen, John B, Smoluk, Bert J, Walczak, Steven

Edmister, R., 1972, "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Vol.2 (March), 1477-1493.

El Hennawy, R., and Morris, R. (1983). "The Significance of Base Year in Developing Failure Prediction Models," Journal of Business Finance & Accounting, Vol. 10 (2), 209-223.

Fensterstock, A., 2001, "Credit scoring: The application of neural networks to credit- scoring," Business Credit, March.

Frydman H, Kao, Altman E.I., and Kao, D., 1985, "Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, 40, 269-291.

Goutte, C., 1997, "Note on Free Lunches and Cross-validation," Neural Computation, Vol.9, 1211-1215.

Jain, B.A., and Nag, B.N., 1995, "Artificial Neural Network Models for Pricing Initial Public Offerings," Decision Sciences, Vol. 26 (3), 283-301.

Klein, B.D., Rossin, D.F., 1999, "Data Errors in Neural Network and Linear Regression Models: An Experimental Comparison," Data Quality, Vol. 5 (1).

Klimasauskas, C., 1996, "Neural Networks for Database Applications" included in "Fuzzy Logic and Neural Network Handbook," edited by Chen, C.H., McGraw Hill Series on Computer Engineering.

Reed, R.D., and Marks, R.J.II, 1999, "Neural Smithing," The MIT Press, Cambridge, Massachusetts.

Scherr, F.C., 1982, "Failure Forecasting Functions," Baylor Business Studies, Vol. 12, 19-33.

Tucker, J., 1998, "Neural Networks versus Logistic Regression in Financial Modeling: a Methodological Comparison," Plymouth Business School, University of Plymouth, UK.

Tyree, E., and Long, J., 1996, "Bankruptcy Prediction Models: Probabilistic Neural Networks versus Discriminant Analysis and Backpropagation Neural Networks," Department of Business Computing, School of Informatics, City University, London, UK.

Walczak, S., and Cerpa, N., 1999, "Heuristic Principles for the Design of Artificial Neural Networks," Information and Software Technology, Vol. 41(2), 109-119.

Wasserman, P., 1993, "Advanced Methods in Neural Computing," Van Nostrand Reinhold, New York.

West, D., 2000, "Neural Network Credit Scoring Models," Computers and Operations Research, Vol. 27, 1131-1152.

Yegorova, I, Andrews, B. H., Jensen, J.B., and Smoluk, B. J., 2000, " A Successful Loan Default Prediction Model for Small Business," The Credit and Financial Management Review, Vol. 6,53-61, Fourth Quarter.

By: Irena Yegorova

Bruce H. Andrews, Ph.D.

John B. Jensen, Ph.D.

Bert J. Smoluk, Ph.D.

Steven Wlalczak, Ph.D.

Irena Yegorova, Doctoral Student, Zicklin School of Business, City University of New York Rm. 10-225, 1 Bernard Baruch Way, New York, NY 100 10

1-646-312-3523, Irena_Yegorova@baruch.cuny.edu

Bruce H. Andrews, Ph.D., Professor of Quantitative Analysis and Director, Center for Business and Economic Research, School of Business, University of Southern Maine, 96 Falmouth Street, Portland, ME 04104-9300 1-207-780-4185, bandrews@usm.maine.edu

John B. Jensen, Ph.D., Associate Professor of Production Operations Management and Senior Research Associate, Center for Business and Economic Research, School of Business,