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Modeling sudden volatility changes: Evidence from Japanese and Korean stock markets

Sang Hoon Kang, Hwan-Gue Cho and Seong-Min Yoon ()

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 17, 3543-3550

Abstract: In this study, we have investigated sudden changes in volatility and re-examined the persistence of volatility in Japanese and Korean stock markets during 1986–2008. Using the iterated cumulative sums of squares (ICSS) algorithm, we have determined that the identification of sudden changes is generally associated with global financial and political events. We have also demonstrated that controlling sudden changes effectively reduces the persistence of volatility or long memory and that incorporating information regarding sudden changes in variance improves the accuracy of estimating volatility dynamics and forecasting future volatility for researchers and investors.

Keywords: Volatility persistence; Sudden change; Regime shift; ICSS algorithm; FIGARCH (search for similar items in EconPapers)
Date: 2009
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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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