000 01896nam a22001577a 4500
999 _c517681
_d517681
008 210724b ||||| |||| 00| 0 eng d
100 _aEmenike, Kalu O and Enock, Omweno N.
_927950
245 _aHow does news affect stock return volatility in a frontier market?
260 _aManagement and Labour Studies
300 _a45(4), Nov, 2020: p.433-443
520 _aMany empirical studies have analysed the effect of good news and bad news on equity market return volatility using both developed and emerging markets data, with scant literature for frontier stock markets. This study evaluates how news affects stock market return volatility in a frontier market using Uganda data. It specifically analyses the reaction of stock return volatility to news filtering into a frontier market using the exponential generalized autoregressive conditional heteroscedasticity (GARCH) model on daily data ranging from 1 September 2011 to 31 December 2017. Estimates of the shape parameter from generalized error distribution indicate the existence of leptokurtic return distribution. Results from the exponential GARCH model show that the effect of bad news and good news on the frontier market return volatility differs, thus suggesting existence of leverage effect in the period studied. Overall results from the study suggest that positive news impacts stock market returns volatility more than negative news of the same magnitude. An important implication of our results is that investors, analysts, brokers and dealers should be conscious of the nature of news filtering into the stock market as such information might improve their expected volatility forecast. - Reproduced
650 _aBad news, E-GARCH model, Frontier market, Good news, Leptokurtosis, Leverage effect, Stock return volatility
_925637
773 _aManagement and Labour Studies
906 _aEQUITY MARKET
942 _cAR