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Disentangling crashes from tail events


  • Sofiane Aboura

    () (CEREG - Centre de Recherche sur la gestion et la Finance - DRM UMR 7088 - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres, DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)


The study of tail events has become a central preoccupation for academics, investors and policy makers, given the recent financial turmoil. However, what differentiates a crash from a tail event? This article answers this question by taking a risk management perspective that is based on an augmented extreme value theory methodology with an application to the French stock market (1968-2008). In contrast with the common sense, it claims that crashes happen when the volatility is the lowest. Our empirical results indicate that the French stock market experienced only two crashes in 2007-2008 among the 12 identified over the whole period.

Suggested Citation

  • Sofiane Aboura, 2010. "Disentangling crashes from tail events," Working Papers halshs-00638072, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00638072
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    Cited by:

    1. Polanski, Arnold & Stoja, Evarist & Chiu, Ching-Wai (Jeremy), 2019. "Tail risk interdependence," Bank of England working papers 815, Bank of England.
    2. Sofiane Aboura, 2016. "Individual investors and stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 17(7), pages 477-485, December.


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