000 02115nam a2200217 4500
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100 _aAmudha, , R.
_932886
245 _aModeling Symmetric and Asymmetric Volatility in the Indian Stock Market
300 _a21-36 p.
520 _aThe term leverage effect refers to the observed relationship between an asset's volatility to be negatively correlated with the asset's returns. The study intended to find whether the volatility tendency increased when the stock markets experienced a fall and attempted to explore the heteroskedastic behavior of Indian equity market stocks by using the GARCH family models to examine the leverage effect that explained the asymmetric volatility of the automobile stocks listed on the NSE (National Stock Exchange). It attempted to find the effects of good and bad news on volatility in the Indian stock market during the extensive and crucial periods from April 24, 2003 to September 7, 2015, when the equity markets experienced three bull and three bear phases. The study used three different volatility estimators from the return series data of the selected stocks of NSE to account for the robustness in the analysis. The standard GARCH models were applied to study whether there was volatility during the study period ; hence, asymmetric volatility models, that is, EGARCH and TGARCH were employed to find out the leverage effect. The study reported an evidence of volatility, which exhibited the clustering and persistence of stocks. The return series of the stocks selected for the study were found to react on the good and bad news asymmetrically. The negative shocks to these stocks exhibited more volatility than the positive shocks of the same magnitude.
653 _aVolatility
653 _aLeverage Effect
653 _aGARCH Models
653 _aIndian Stock Market,
653 _aNational Stock Exchange - NSE
700 _aMuthukamu, M.
_932887
773 0 _029384
_973058
_aGILANI,S.
_o5559618
_tINDIAN JOURNAL OF FINANCE
_x0973-8711
942 _2ddc
_cJA-ARTICLE