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The Asian financial crisis : the start of a regime switch in volatility


  • GIOT, Pierre


Using a Markov switching model applied to the VIX and VDAX implied volatility indexes, we find that the volatility of the U.S. S&P100 index and German DAX index switched from a low-value state to a high-value state around the events of the Asian financial crisis. Moreover, the U.S. and German markets have stayed in the highvolatility state for the next five years. We also show that there has been a structural change in the stock index volatility vs returns relationship.

Suggested Citation

  • GIOT, Pierre, 2003. "The Asian financial crisis : the start of a regime switch in volatility," CORE Discussion Papers 2003078, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2003078

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    References listed on IDEAS

    1. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, March.
    2. Bank for International Settlements, 2001. "Market liquidity: proceedings of a workshop held at the BIS," BIS Papers, Bank for International Settlements, number 02, february.
    3. Kaminsky, Graciela L. & Schmukler, Sergio L., 1999. "What triggers market jitters?: A chronicle of the Asian crisis," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 537-560, August.
    4. Holger Claessen & Stefan Mittnik, 2002. "Forecasting stock market volatility and the informational efficiency of the DAX-index options market," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 302-321.
    5. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    6. Blair, Bevan J. & Poon, Ser-Huang & Taylor, Stephen J., 2001. "Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 5-26, November.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. Brooks, Chris & Persand, Gita, 2001. "The trading profitability of forecasts of the gilt-equity yield ratio," International Journal of Forecasting, Elsevier, vol. 17(1), pages 11-29.
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    Cited by:

    1. Luc Bauwens & Dagfinn Rime & Genaro Sucarrat, 2006. "Exchange rate volatility and the mixture of distribution hypothesis," Empirical Economics, Springer, vol. 30(4), pages 889-911, January.
    2. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.


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