Estimation of VaR Using Copula and Extreme Value Theory

Luiz Hotta, E. C. Lucas and H. P Palaro
Additional contact information
E. C. Lucas: ESAMC, Campinas SP, Brazil
H. P Palaro: State University of Campinas, Campinas SP, Brazil and Cass Business School, U.K.

Multinational Finance Journal, 2008, vol. 12, issue 3-4, 205-218

Abstract: This paper proposes a method for estimating the VaR of a portfolio based on copula and extreme value theory. Each return is modeled by ARMA-GARCH models with the joint distribution of innovations modeled by copula. The marginal distributions are modeled by the generalized Pareto distribution in the left tail (large loss) and empirical distribution otherwise. The copula is estimated by an estimator which gives more weight to observations with large loss. The method is applied to a two-asset portfolio and compared to other traditional methods.

Keywords: conditional copula; risk measures; VaR, extreme value theory (search for similar items in EconPapers)
JEL-codes: C15 D81 G10 (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:mfj:journl:v:12:y:2008:i:3-4:p:205-218

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