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Manasse, P., Roubini, N. and Schimmelpfenning, A. 2003. Predicting Sovereign Debt Crises. IMF Working paper : 1-40.

|

20 , 1 ,2011 6 ,23-38 | 13

1 1-21 Salchenberger, L., Mine, C. and Lash, N. 1992. Neural networks: A tool for predicting thrift

failures, Decision Sciences 23 : 899-916. Fletcher, D. and Goss, E. 1993. Application forecasting with neural networks an application using

bankruptcy data, Information and Management 24 : 159-167. Sung, T. K., Namsik, C. and Lee, G. 1999. Dynamics of Modeling in Data Mining: Interpretive

Approach to Bankruptcy Prediction. Journal of Management Information System (Summer) : 63-85. Dietrich, J.R. and Kaplan, R.S. 1982. Empirical analysis of the loan classification decision, The

Accounting Review 57 : 18-38. Altman, E.I., Haldeman, R.G., and Narayanan, P. 1977. ZETA ANALYSIS, a new model to

identify bankruptcy risk of corporations, Journal of Banking and Finance 1 : 29-54. Wilcox, J.W. 1973. A prediction of business failure using accounting data, empirical research in

accounting: Selected studies, Journal of Accounting Research (Suppl.) : 163-179. Berger, A.N. and DeYoung, R. 1997. Problem loans and cost efficiency in commercial banks,

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Journal of Banking & Finance, vol. 21 (6) : 849-870. Martin, D. 1977. Early warning of bank failure: A logit regression approach, Journal of Banking

and Finance 1 : 249-276. West, R.C. 1985. A factor analytic approach to bank condition, Journal of Banking and Finance 9 :

253-266. Kolari, J., Glennon, D., Shin, H., and Caputo, M. 2002. Predicting large US commercial bank

failures, Journal of Economics and Business 54 (32 1) : 361-387. Canbas, S., Cabuk, A., and Kilic, S.B. 2005. Prediction of commercial bank failure via

multivariate statistical analysis of financial structure: The Turkish case, European Journal of Operational Research 166 : 528-546.

Swicegood, P. and Clark, J.A. 2001. Off-site monitoring for predicting bank under performance: A comparison of neural networks, discriminant analysis and professional human judgment, International Journal of Intelligent Systems in Accounting, Finance and Management 10 : 169-186.

Tam, K.Y. 1991. Neural network models and the prediction of bank bankruptcy, Omega 19 (5) : 429-445.

Tam, K.Y. and Kiang, M. 1992. Predicting bank failures: A neural network approach, Decision Sciences 23 : 926-947.

Salchenberger, L., Mine, C. and Lash, N. 1992. Neural networks: A tool for predicting thrift failures, Decision Sciences 23 : 899-916.

Bell, T.B. 1997. Neural nets or the logit model? A comparison of each model's ability to predict commercial bank failures, International Journal of Intelligent Systems in Accounting, Finance and Management 6 : 249-264.

Piramuthu, S., Ragavan, H. and Shaw, M.J. 1998. Using feature construction to improve the performance of the neural networks, Management Science 44 (3).

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