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A Copula Approach to Value-at-Risk Estimation for Fixed-Income Portfolios

This paper introduces a multivariate copula approach to Value-at-Risk estimation for fixed income portfolios. Using a parsimonious model to extract time-varying parameters used as proxies for factors affecting the shape of the yield curve, and a Student copula to model the dependence structure of these factors, we are able to generate VaR estimates that strongly dominate standard VaR estimates in formal out-of-sample tests. A revisited version of this paper was published in the Summer 2007 issue of the Journal of Fixed Income.

Author(s) :

Lionel Martellini, Jean-Christophe Meyfredi

Summary :

This paper introduces a multivariate copula approach to Value-at-Risk estimation for fixed income portfolios. Using a parsimonious model to extract time-varying parameters used as proxies for factors affecting the shape of the yield curve, and a Student copula to model the dependence structure of these factors, we are able to generate VaR estimates that strongly dominate standard VaR estimates in formal out-of-sample tests. A revisited version of this paper was published in the Summer 2007 issue of the Journal of Fixed Income.

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Type : Working paper
Date : 10/01/2007
Keywords :

Risk Management