Journal of Economics and Finance

, Volume 28, Issue 2, pp 211–225 | Cite as

Modeling volatility in sector index returns with GARCH models using an iterated algorithm



Financial market participants are interested in knowing what events can alter the volatility pattern of financial assets and how unanticipated shocks determine the persistence of volatility over time. The present paper studies these issues by detecting time periods of sudden changes in volatility by using the iterated cumulated sums of squares (ICSS) algorithm. Examining five major sectors from January 1992 to August 2003, we found that accounting for volatility shifts in the standard GARCH model considerably reduces the estimated volatility persistence. Our results have important implications regarding asset pricing, risk management, and portfolio selection. (JEL G110, G120)


Stock Return Regime Shift GARCH Model Technology Sector Index Fund 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2004

Authors and Affiliations

  1. 1.Department of Economics and FinancePennsylvania State University-Berks CampusReading
  2. 2.Department of EconomicsTexas Tech UniversityLubbock

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