期刊名称：International Journal of Academic Research in Accounting, Finance and Management Sciences
印刷版ISSN：2308-0337
电子版ISSN：2225-8329
出版年度：2014
卷号：4
期号：3
页码：187-192
语种：English
出版社：Human Resource Management Academic Research Society
摘要：The aim of this paper is to examine the efficiency of two credit risk modeling (CRM) to predict the credit risk of commercial Iranian banks: (1) Logistic regression model (LRM); (2) Artificial neural networks (ANNs). The calculations have been done by using SPSS and MATLAB software. Number of samples was 316 and 5 dependent variables. The results showed that, artificial neural network is more proper to identify bad customers in commercial bank. The major contribution of this paper is specifying the most important determinants for rating of customers in Iran’s banking sector.
