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The Risk Map: A New Tool for Backtesting Value-at-Risk Models


Gilbert Colletaz


University of Orleans

Christophe Hurlin


University of Orleans; Université Paris IX Dauphine

Christophe Perignon


HEC Paris - Finance Department

May 1, 2011

International Conference of the French Finance Association (AFFI), May 11-13, 2011

Abstract:     
This paper presents a new tool for validating Value-at-Risk (VaR) models. This tool, called the Risk Map, jointly accounts for the number and the magnitude of the VaR exceptions and graphically summarizes all information about the performance of a risk model. It relies on the concept of VaR super exception, which is de…fined as a situation in which the trading loss exceeds both the standard VaR and a VaR defined at an extremely low coverage probability. We then formally test whether the sequence of exceptions and super exceptions passes standard model validation tests. We show that the Risk Map can be used to backtest VaR for market risk, credit risk, or operational risk, to assess the performance of a margining system on a derivatives exchange, and to validate systemic risk measures (e.g. CoVaR).

Number of Pages in PDF File: 29

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Date posted: May 12, 2011  

Suggested Citation

Colletaz, Gilbert, Hurlin, Christophe and Perignon, Christophe, The Risk Map: A New Tool for Backtesting Value-at-Risk Models (May 1, 2011). International Conference of the French Finance Association (AFFI), May 11-13, 2011. Available at SSRN: http://ssrn.com/abstract=1836885 or http://dx.doi.org/10.2139/ssrn.1836885

Contact Information

Gilbert Colletaz (Contact Author)
University of Orleans ( email )
Rue de Blois
B.P. 6739
45067 Orleans Cedex 2, Orleans cedex 2 45067
France
Christophe Hurlin
University of Orleans ( email )
Université d'Orléans
Rue de Blois B.P. 6739 45
France
Université Paris IX Dauphine ( email )
223 Rue Saint-Honore
Paris, 75775
France
01 44 05 42 94 (Phone)
Christophe Perignon
HEC Paris (Groupe HEC) - Finance Department ( email )
1 rue de la Liberation
Jouy-en-Josas Cedex, 78351
France
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