Volume 9, No. 3, December 2010

 

A Versatile Copula and Its Application to Risk Measures

Jeungbo Shim
Department of Business Administration, Illinois Wesleyan University, U.S.A.
Eun-Joo Lee
Department of Mathematics, Millikin University, U.S.A.
Seung-Hwan Lee
Department of Mathematics and Computer Science, Illinois Wesleyan University, U.S.A.
Abstract

This paper proposes a copula that has versatile properties. We apply grouped t and versatile t copulas to estimate Value at Risk and expected shortfall using a sample of firms in the US property-liability insurance industry. We perform goodness-of-fit tests to assess the adequacy of the copula models selected. We find that a versatile copula is effective in estimating dependence structures of non-homogeneous multivariate risks.

Key words: dependence structure; versatility; grouped t copula; value at risk
JEL classification: C00; C13

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