Modeling Asymmetric Volatility in the Indian Stock Market

  •  Hojatallah Goudarzi    
  •  C.S. Ramanarayanan    


This paper studied the effects of good and bad news on volatility in the Indian stock markets using asymmetric
ARCH models during the global financial crisis of 2008-09. The BSE500 stock index was used as a proxy to the
Indian stock market to study the asymmetric volatility over 10 year’s period. Two commonly used asymmetric
volatility models i.e. EGARCH and TGARCH models were used. The BSE500 returns series found to react to
the good and bad news asymmetrically. The presence of the leverage effect would imply that the negative
innovation (news) has a greater impact on volatility than a positive innovation (news). This stylized fact
indicates that the sign of the innovation has a significant influence on the volatility of returns and the arrival of
bad news in the market would result in the volatility to increase more than good news. Therefore, we conclude
that, bad news in the Indian stock market increases volatility more than good news.

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