Structural Equation Modelling in Microscoping Nepalese Commercial Banks’ Profit Maximization by Risk Minimization

Does financial regulation affect the profit efficiency and risk of banks? Evidence from China's commercial banks

The goal of financial regulation is to enable banks to improve liquidity and solvency. Stricter regulation may be good for bank stability, but not for bank efficiency. This research aims to examine whether banks have met the CBRC’s standard of financial regulations and explores how the previously implemented financial regulations have affected bank efficiency and risk in the past. In addition, ...

Performance of Credit Risk Management in Indian Commercial Banks

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...

The profit efficiency of small US commercial banks

This study investigates the profit efficiency (PROFEFF) of small banks (those under $500 million in total assets) for 1990–96. Assuming that small banks and large banks use the same production technology, we find, consistent with Berger and Mester [J. Bank. Finance 21 (1997) 875], that small banks are more profit efficient than large banks. Small banks in non-metropolitan statistical areas (non...

Credit Risk Management in Commercial Banks

The article proposes a model of credit risk assessment on the basis of factor analysis of retail clients / borrowers in order to ensure predictive control of the level of risk posed by potential clients in commercial banks engaged in consumer lending. The aim of the study is to determine the level of risk represented by different groups (classes) of retail clients (borrowers) in order to reduce...

The Evaluation of Commercial Banks Performance and Market Risk by using of Fuzzy DEA