%0 Journal Article
%T Bankalar n Finansal Ba ar s zl klar n n Geleneksel ve Yeni Y ntemlerle  ng r¨¹s¨¹(Prediction of Financial Failure of Banks with Traditional and New Methods)
%A Melike KURTARAN £¿EL£¿K
%J Y£¿netim ve Ekonomi
%D 2010
%I Celal Bayar University
%X The aim of this study is to set the early warning models for the prediction of financial failures of banks which are most importnant factor of financial system especially in Turkey. In this study it is compared predictability of various prediction models such as discriminant analysis and artificial neural networks using usually in literature. For this purpose, financial failure probability of banks is separately predicted with financial ratios of 36 privately owned commercial banks for 1 and 2 years ago.
%K Banka Ba ar s zl
%K Finansal Ba ar s zl k
%K Diskriminant Analizi
%K Yapay Sinir A lar
%K Ba ar s zl k  ng r¨¹s¨¹
%K Bank Failure
%K Financial Failure
%K Discriminant Analysis
%K Artificial Neural Networks
%K Failure Prediction
%U http://www2.bayar.edu.tr/yonetimekonomi/dergi/pdf/C17S22010/129_143.pdf