Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation functions of the squared or log-squared returns. GARCH models extensively used in empirical analysis do not account for long memory in volatility. The present paper examines the issue of long memory in...

The study uses three volatility models of the GARCH family to examine the volatility behavior and in particular volatility persistence or long memory of the return series of four Bombay Stock Exchange (BSE) sectoral indices. The study uses the daily data from January 1, 2002 to December 31,...

The present study investigates the role of information in price discovery function and volatility spillover in Nifty and S&P CNX Nifty futures by employing two-step TGARCH procedures. First, the study examines short and long-run relationship between S&P CNX Nifty index and Nifty index futures in...