New Prospects on Vines
Dominique Guegan () and
Pierre-André Maugis
Additional contact information
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:
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.
Keywords: Vine copulas; multivariate copulas; model selection; VaR; Vines; Copules multivariées; Sélection de modèles (search for similar items in EconPapers)
Date: 2010-03
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00348884v3
References: Add references at CitEc
Citations: View citations in EconPapers (41)
Published in 2010
Downloads: (external link)
https://shs.hal.science/halshs-00348884v3/document (application/pdf)
Related works:
Working Paper: New prospects on vines (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:halshs-00348884
Access Statistics for this paper
More papers in Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL
Bibliographic data for series maintained by CCSD ().