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Volatility, Information and Stock Market Crashes

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  • Nikolaos Antonakakis
  • Johann Scharler

Abstract

In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high state for a considerable period of time after the crash. These results do not support the view that crashes are due to the resolution of uncertainty (e.g. Romer, 1993), but are consistent with the model in Frankel (2008) where the adaptive forecasts of volatility by uniformed traders result in a crash.

Suggested Citation

  • Nikolaos Antonakakis & Johann Scharler, 2009. "Volatility, Information and Stock Market Crashes," Economics working papers 2009-18, Department of Economics, Johannes Kepler University Linz, Austria.
    • Handle: RePEc:jku:econwp:2009_18
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    References listed on IDEAS

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    1. Dilip Abreu & Markus K. Brunnermeier, 2003. "Bubbles and Crashes," Econometrica, Econometric Society, vol. 71(1), pages 173-204, January.
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    3. David M. Frankel, 2008. "Adaptive Expectations And Stock Market Crashes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 595-619, May.
    4. Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
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    6. Zeira, Joseph, 1999. "Informational overshooting, booms, and crashes," Journal of Monetary Economics, Elsevier, vol. 43(1), pages 237-257, February.
    7. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    8. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
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    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G0 - Financial Economics - - General

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