2Betz, F., Oprica, S., Peltonen, T.A. and Sar- lin, P., Predicting distress in European banks. Journal Of Banking & Finance, Vol.45, No.8,2014.
3Chiaramonte, L., Should we trust the Z-score? Evidence from the European banking industry. Global Finance Journal, Vol. 11, No.2,2015.
4Erdal, H.I. and Ekinci, A., A comparison of various artificial intelligence methods in the prediction of bank failures. Computational Economics, Vol.42, No.2,2013.
5Frlix, J., Iturriaga, L. and Sanz, I.P., Bank- ruptcy visualization and prediction using neural net- works : A study of U.S. commercial banks. Expert Sys- tems With Applications, Vol.42, No.4,2015.
6Kolari, J., Glennon, D., Shin, H. and Caputo, M., Predicting large US commercial bank failures. Jour- nal Of Economics And Business, Vol. 147, No.4,2002.
7Martin, D., Early warning of bank failure : A logit regression approach. Journal Of Banking And Fi- nance, Vol.1, No.11,1977. Meyer, P.A. and Pifer, H.W., Prediction of.bank failures. Journal Of Finance, Vol.25, No.4, 1970.
8Olmeda, I. and Fernandez, E., Hybrid classiers for financial muhicriteria decision making : The case of bankruptcy prediction. Computational Economics, Vol.10, No.4,1997.
9Raymond, A.K., Cox, G.W. and Wang, Y., Predicting the US bank failure: A discriminant analy- sis. Economic Analysis And Policy, Vol.44, No.7,2014.