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Long-term vs. short-term comovements in stock markets: the use of Markov-switching multifractal models

  • Julien Idier

During financial crises, interest is strong for analysing market comovements. However, a majority of these analyses is based only on correlations. This article uses Markov switching multifractal models to derive new indicators by considering different horizons for dependency among four stock indices (NYSE FTSE DAX CAC) between 1996 and 2008. The detection of crises, extreme volatility comovements or the co-cycle lengths are derived. In this context, September 2008 appears to be an unprecedented example of global crisis, extended to all horizons and markets.

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Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

Volume (Year): 17 (2011)
Issue (Month): 1 ()
Pages: 27-48

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Handle: RePEc:taf:eurjfi:v:17:y:2011:i:1:p:27-48
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  1. Laurent Calvet, 2000. "Forecasting Multifractal Volatility," Harvard Institute of Economic Research Working Papers 1902, Harvard - Institute of Economic Research.
  2. Martin, V. & Dungey & M., 2004. "Empirical Modelling of Contagion: A Review of Methodologies," Econometric Society 2004 Far Eastern Meetings 574, Econometric Society.
  3. Thomas Lux & Taisei Kaizoji, 2006. "Forecasting Volatility and Volume in the Tokyo Stock Market: Long Memory, Fractality and Regime Switching," Working Papers wpn06-04, Warwick Business School, Finance Group.
  4. K. Geert Rouwenhorst, 1999. "Local Return Factors and Turnover in Emerging Stock Markets," Journal of Finance, American Finance Association, vol. 54(4), pages 1439-1464, 08.
  5. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.
  6. Zumbach, Gilles & Lynch, Paul, 2001. "Heterogeneous volatility cascade in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 298(3), pages 521-529.
  7. Lux, Thomas, 2008. "The Markov-Switching Multifractal Model of Asset Returns: GMM Estimation and Linear Forecasting of Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 194-210, April.
  8. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
  9. Colm Kearney & Valerio Poti, 2005. "Correlation Dynamics in European Equity Markets," Finance 0507008, EconWPA.
  10. Angelos Kanas, . "Linkages between the US and European Equity Markets: Further Evidence from cointegration Tests," Working Papers 9804, University of Crete, Department of Economics.
  11. BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen, 2003. "Multivariate GARCH models: a survey," CORE Discussion Papers 2003031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  12. Calvet, Laurent E. & Fisher, Adlai J. & Thompson, Samuel B., 2006. "Volatility comovement: a multifrequency approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 179-215.
  13. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-62, July.
  14. Annastiina Silvennoinen & Timo Teräsvirta, 2005. "Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations," Research Paper Series 168, Quantitative Finance Research Centre, University of Technology, Sydney.
  15. Philippe Martin & Hélène Rey, 2005. "Globalization and Emerging Markets: With or Without Crash?," NBER Working Papers 11550, National Bureau of Economic Research, Inc.
  16. Serra, Ana Paula, 2000. "Country and industry factors in returns: evidence from emerging markets' stocks," Emerging Markets Review, Elsevier, vol. 1(2), pages 127-151, September.
  17. deB. Harris, Frederick H. & McInish, Thomas H. & Shoesmith, Gary L. & Wood, Robert A., 1995. "Cointegration, Error Correction, and Price Discovery on Informationally Linked Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(04), pages 563-579, December.
  18. Idier, J., 2006. "Stock exchanges industry consolidation and shock transmission," Working papers 159, Banque de France.
  19. Jérôme Fillol, 2003. "Multifractality: Theory and Evidence an Application to the French Stock Market," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.
  20. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2002. "Multifractality in Asset Returns: Theory and Evidence," Post-Print hal-00478175, HAL.
  21. Kallberg, Jarl & Pasquariello, Paolo, 2008. "Time-series and cross-sectional excess comovement in stock indexes," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 481-502, June.
  22. Roll, Richard, 1992. " Industrial Structure and the Comparative Behavior of International Stock Market Indices," Journal of Finance, American Finance Association, vol. 47(1), pages 3-41, March.
  23. Laurent Calvet & Adlai Fisher, 2003. "Regime-Switching and the Estimation of Multifractal Processes," NBER Working Papers 9839, National Bureau of Economic Research, Inc.
  24. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2004. "How to Forecast Long-Run Volatility: Regime Switching and the Estimation of Multifractal Processes," Post-Print hal-00478472, HAL.
  25. Kristin Forbes & Roberto Rigobon, 1999. "No Contagion, Only Interdependence: Measuring Stock Market Co-movements," NBER Working Papers 7267, National Bureau of Economic Research, Inc.
  26. Masih, Rumi & Masih, Abul M. M., 2001. "Long and short term dynamic causal transmission amongst international stock markets," Journal of International Money and Finance, Elsevier, vol. 20(4), pages 563-587, August.
  27. Jerome Fillol, 2005. "Modelisation multifractale du taux de change dollar/euro," Economie Internationale, CEPII research center, issue 104, pages 135-150.
  28. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
  29. Gilles Zumbach & Paul Lynch, 2001. "Heterogeneous volatility cascade in financial markets," Papers cond-mat/0105162,
  30. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  31. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
  32. repec:ebl:ecbull:v:3:y:2003:i:31:p:1-12 is not listed on IDEAS
  33. repec:spo:wpecon:info:hdl:2441/9261 is not listed on IDEAS
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