Note on new prospects on vines
Article dans une revue: In this paper, we present a new methodology based on vine copulas to estimate multivariate distributions in high dimensions, taking advantage of the diversity of vine copulas. Considering the huge number of vine copulas in dimension n, we introduce an efficient selection algorithm to build and select vine copulas with respect to any test T. Our methodology offers a great flexibility to practitioners to compute VaR associated to a portfolio in high dimension.
Auteur(s)
Pierre-André Maugis, Dominique Guegan
Revue
- Insurance Markets and Companies : Analyses and Actuarial Computations
Date de publication
- 2010
Mots-clés JEL
Pages
- 15-22
URL de la notice HAL
Version
- 1
Volume
- 1