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Extreme Value at Risk and Expected Shortfall during Financial Crisis

L. Kourouma, Denis Dupré (), G. Sanfilippo () and O. Taramasco ()
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L. Kourouma: CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique
Denis Dupré: CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique
G. Sanfilippo: CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique
O. Taramasco: CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique

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Abstract: This paper investigates Value at Risk and Expected Shortfall for CAC 40, S&P 500, Wheat and Crude Oil indexes during the 2008 financial crisis. We show an underestimation of the risk of loss for the unconditional VaR models as compared with the conditional models. This underestimation is stronger using the historical VaR approach than when using the extreme values theory VaR model. Even in 2008 financial crisis, the conditional EVT model is more accurate and reliable for predicting the asset risk losses. Banks have no interest in using it because the Basel II agreement penalizes banks using accuracy models like the conditional EVT model, and this is the case for the assets being studied in this paper.

Keywords: Market risk; Value at Risk; EVT; GARCH; Financial crisis; Basel requirements (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-ban
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00658495v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Published in 2011

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