سال انتشار: ۱۳۹۱

محل انتشار: نخستین همایش سالانه علوم مدیریت نوین

تعداد صفحات: ۱۱

نویسنده(ها):

Mahdi Salehi – Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad
Elahe Torabi – Department of Accounting, Science and Research Branch
Jalil Khaksar – Islamic Azad University, Mashhad, Iran

چکیده:

In this study, it is attempted to examine the banking practice in Iran based on new scientific methods. It is used the financial ratios demonstrating healthy or non-healthy of banks to assess the financial health of listed banks in Tehran Stock Exchange. The assessment of these ratios with use of Neural Network (NN) as a non-parametric method for modeling is recommended for presenting this model. Information about the financial health of banks could be effective on the decisions of different groups of banks’ financial reports users, including shareholders, auditors, stock exchange, central bank and etc