iranian banks can not freely determine their interest rates in the financial market. this characteristic causes banking industry unable to perform their duties of financial intermediaries in the transmission mechanism of monetary. in these circumstances, monetary shocks will have a significant and high effect on the alternative markets (like stocks and housing). in this study, we used dynamic s...

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...

Ranking the appropriate Key Performance Factors (KPFs) for banks in Iran is vital determining focus of bank’s economic growth and development. Although identifying KPFs important outgrowth Iranian banks, one most critical performance drivers establishing strategy management framework infrastructure to drive strategic banks. The Balanced Scorecard (BSC) methodology a multidimensional system that...

systemic risk is the risk of collapse in the financial system. due to the financial crisis that hit the world economy in 2008, the study of systemic risk in the banking sector became more attractive for researchers. in this research we study systemic risk in the iranian banking sector by using a famous systemic risk measure, the ∆covar. to compute the measure, we employ dynamic conditional corr...

In developed countries, the existence of credit scoring agencies helps to reduce risk banks across globe by ensuring their good scores through a variety techniques, including use machine learning and artificial intelligence. Nevertheless, banking system in poor developing countries is plagued lack reputable for customers. As result, tend internalize according Basel II & III Central Bank regulat...