We investigated how frequency and amount of punishment affect the decision making of Iranian subjects. In our first experiment, performing a computer-based Persian version of the Iowa Gambling Task (IGT), our subjects scored remarkably lower than their Western counterparts. Moreover, our subjects chose more frequently and more rapidly from decks that had less frequent but larger amounts of puni...

In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models ...

Banks’ exposure to fluctuations in interest rates strongly forecasts excess Treasury bond returns. This result is consistent with a bank-centric view of the market for interest rate risk. Banks’ activities — accepting deposits and making loans — naturally exposes their balance sheets to changes in interest rates. In equilibrium, the bond risk premium compensates banks for bearing these fluctuat...

Various studies have shown that different banking business models are related to several variables will change banks' strategies and impose various risks. This paper examines the data from 2006 2021 for 30 Iranian banks while identifying affecting models. K-Means, FCM, PAM clustering approaches used cluster banks. Also, by analyzing liquidity risk, credit insolvency impact of model on risks is ...

The main purpose of this study is to develop a Fuzzy inference system to predict bank profitability in Iran and help investors in their investment decisions. For this purpose, the main effective variables on bank profitability, including facilities, deposits, manpower costs, and assets were recognized. In the next step, the data of 13 banks were collected from 2001 to 2011. The membership funct...