The financial failure of most commercial banks is hardly identified and detected. Machine learning techniques as Fuzzy logic (FL), Artificial Neural network (ANN), Case based reasoning (CBR) and Rule based system (RBS) are important techniques that are used in prediction and forecasting generally. This paper introduces a fuzzy logic based proposed model which can help the decision maker in comm...

For banks and financial institutions, credit risk had been an essential factor that needed to be managed well. Credit risk was the possibility that a borrower of counter party would fail to meet its obligations in accordance with agreed terms. Credit risk; therefore arise from the bank’s dealings with or lending to corporate, individuals, and other banks or financial institutions.  Credit risk...

Commercial banks are not only the largest service sector of real economy, but also "bellwether" financial industry in various countries. Their risk management has always been focus academic attention and hot discussion. The article reviews eight studies discusses four main risks with their managements existed commercial banks. review risks, interest risk, credit liquidity operational summarizes...

Jordan Commercial banks" Innovative Marketing, International Research Journal, vol 6, Issue3, 2010 Abstract: Purpose of paper: This study aims to investigate the Impact of Managers Emotional Intelligence on marketing creativity in Jordan Commercial Banks Design/methodology/approach: This study uses the descriptive analytical approach since such approach is suitable for studying the relationshi...

Indian banking industry has transformed in recent years due to the globalization market which has resulted in fierce competition. This new competitive environment has resulted in new challenges for the Indian banks especially for public sector banks to retain their share. The present paper is mainly concerned with the analysis of factors that influence the performance of banks. The paper examin...