Commerce and Management
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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.Item Equity Market Volatility Behavior in Sri Lankan Context(Faculty of Commerce and Management Studies, University of Kelaniya, 2015) Morawakage, P.S.; Weerasinghe, W.D.J.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 exist in Colombo Stock Exchange. Further, negative shock creates more volatility compared to a positive shock 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.Item Volatility Modeling and its Impact on Risk premium in Emerging markets(2015) Morawakage, P.S.This study examines different volatility models to capture the stock market volatility in two emerging markets Indonesia and Sri Lanka. Further the relationship between volatility and risk premium in both markets are analyzed to test the risk return trade off in those markets. GARCH, EGARCH and TGARCH models are used to capture the volatility and GARCH-M model is used to analyze the risk return relationship. In both markets it is observed that volatility clustering, leverage effect and nonlinear effect are significant by considering daily ASPI return observations from 2004 to 2013. Relationship between volatility and risk premium is not significant according to the GARCH-M model.