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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. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
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    More about this item

    Keywords

    Stock Market Crash; Volatility; Markov Switching;
    All these keywords.

    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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