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An Econometric Study of Vine Copulas

Dominique Guegan () and Pierre-André Maugis
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Dominique Guegan: CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: We present a new recursive algorithm to construct vine copulas based on an underlying tree structure. This new structure is interesting to compute multivariate distributions for dependent random variables. We proove the asymptotic normality of the vine copula parameter estimator and show that all vine copula parameter estimators have comparable variance. Both results are crucial to motivate any econometrical work based on vine copulas. We provide an application of vine copulas to estimate the VaR of a portfolio, and show they offer significant improvement as compared to a benchmark estimator based on a GARCH model.

Keywords: copules multivariées; gestion des risques.; Vines; multivariate copulas; risk management. (search for similar items in EconPapers)
Date: 2010-05
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00492124
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Citations: View citations in EconPapers (9)

Published in 2010

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Related works:
Working Paper: An econometric Study for Vine Copulas (2011) Downloads
Working Paper: An Econometric Study of Vine Copulas (2010) Downloads
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