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Item Corporate governance determinants of firm performance: empirical evidence from banking, finance and insurance companies in Sri Lanka(Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka, 2016) Panditharathna, K. M.This study examines the relationships between corporate governance attributes on firm performance of listed financial sector companies in Sri Lanka. Empirical analysis focused on 56 companies registered in the Colombo Stock Exchange (CSE) covering the industries of banking, finance and insurance for the years 2012, 2013, 2014 and 2015. The study used Ordinary Least Squares (OLS) method to analyze the data. The study finds that relationship between corporate governance and firm performance are not strong. Board size, proportion of independent directors and the proportion of female directors have not significant relationship with performance measures. But board effectiveness has a significant positive relationship with ROE. This study enables to companies to evaluate and restructuring of their board to enhance the performance of the company while contributing to the economic development of the country. Findings of prior study are more focused to the developed countries. This study fills that research gap and contribute to the present literature on corporate governance in the industries of banking finance and insurance.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.