Disentangling crashes from tail events
Sofiane Aboura
Working Papers from HAL
Abstract:
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.
Keywords: Extreme Value Theory; Volatility; Risk Management (search for similar items in EconPapers)
Date: 2010-01-01
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00638072v1
References: Add references at CitEc
Citations:
Downloads: (external link)
https://shs.hal.science/halshs-00638072v1/document (application/pdf)
Related works:
Working Paper: Disentangling Crashes from Tail Events (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:halshs-00638072
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().