Kelaniya Journal of Management
Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/13911
Browse
2 results
Search Results
Item Credit risk management and shareholder value creation: with special reference to listed commercial banks in Sri Lanka(University of Kelaniya, 2016) Perera, L.A.S.; Morawakage, P.S.The main aim of this study is to investigate the effect of credit risk management on the shareholder value in listed commercial banks in Sri Lanka. The research has used only the secondary data for the purpose of analysis and the sources of data include the annual reports of selected quoted public banks. This study employed return on shares to measure the shareholder value while non-performing ratio, Capital adequacy ratio and Loans to deposits ratio have been used as the indicators of the credit risk management of the banks. Regression models were employed to do the empirical analysis and focuses on the descriptions of the output obtained from the SPSS. The findings reveal that credit risk management has a significant effect on shareholder value in all eight banks. Among the three credit risk management indicators, NPLR has the most significant effect on the return on shares. Through the results of the study it can be concluded that null hypothesis can be rejected since there is a significant relationship between credit risk management and shareholder value.Item Equity Market Volatility Behavior in Sri Lankan Context(University of Kelaniya, 2015) Morawakage, P.S.; Nimal, P.D.Colombo Stock Exchange (CSE) in Sri Lanka is at its first level of emerging markets. Volatility of emerging markets are considered to be high and characterized by complex features. Therefore, this study focusses on examining the volatility behavior of Colombo Stock Exchange with advanced econometric models. Here GARCH, EGARCH and TGARCH models are used to capture the complex volatility features. It is observed that volatility clustering and leverage effect exists in Colombo Stock Exchange. Further, negative shocks creates more volatility compared to a positive shocks generated in the market. TGARCH model assuming student-t probability distribution function is more suitable to explain the volatility in Colombo Stock Exchange among the models described above according to the Akaike and Schwarz information criteria.