Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/12166
Title: The Effect of Credit Risk Management on Financial Performance of Commercial Banks in Sri Lanka
Authors: Perera, W.T.D.
Keywords: Return on Equity (ROE)
Capital Adequacy Ratio
Asset Quality (Non- Performing Loan Ratio)
Cost to Income Ratio
Return on Asset
Liquidity Coverage Ratio
Issue Date: 2015
Publisher: Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya
Citation: Perera, W.T.D. 2015. The Effect of Credit Risk Management on Financial Performance of Commercial Banks in Sri Lanka. In Proceedings of the 4th Students’ Research Symposium, Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka. p 46.
Abstract: Risk management is most important part of the financial institutions. Credit risk management is major part of the overall risk management for the worldwide financial institution. This study analyzed the impact of credit risk management on financial performance of commercial banks in Sri Lanka. And also attempted to establish if there exists any relationship between credit risk management and financial performance of commercial banks in Sri Lanka by using CAMEL (capital adequacy ratio, Asset quality, management efficiency, earning, and Liquidity coverage ratio). This research was facilitated by the use of secondary data which was published by commercial banks in Sri Lanka. This study used multiple OLS Regression to analyze the data. Accordingly, it was found that there is an impact of the credit risk managements on the financial performance of commercial bank in Sri Lanka. More specifically, Capital adequacy and Management efficiency have negative significant relationship with financial performance of state commercial banks in Sri Lanka. Asset quality has a positive relationship with financial performance of Sri Lankan commercial banks and Earning and Liquidity have positive significant relationship with financial performance. Finally, this study concludes CAMEL model can be used as a proxy for the credit risk management.
URI: http://repository.kln.ac.lk/handle/123456789/12166
Appears in Collections:4th SRS - DFIN 2015

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