On a multivariate extension for Copula-based Conditional Value at Risk

Fuente: arXiv
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Autore principale: Barreto, Andres Mauricio Molina
Natura: Preprint
Pubblicazione: 2025
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author Barreto, Andres Mauricio Molina
author_facet Barreto, Andres Mauricio Molina
contents Copula-based Conditional Value at Risk (CCVaR) is defined as an alternative version of the classical Conditional Value at Risk (CVaR) for multivariate random vectors intended to be real-valued. We aim to generalize CCVaR to several dimensions (d>=2) when the dependence structure is given by an Archimedean copula. While previous research focused on the bivariate case, leaving the multivariate version unexplored, an almost closed-form expression for CCVaR under an Archimedean copula is derived. The conditions under which this risk measure satisfies coherence are then examined. Finally, numerical experiments based on real data are conducted to estimate CCVaR, and the results are compared with classical measures of Value at Risk (VaR) and Conditional Value at Risk (CVaR).
format Preprint
id arxiv_https___arxiv_org_abs_2508_16132
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On a multivariate extension for Copula-based Conditional Value at Risk
Barreto, Andres Mauricio Molina
Portfolio Management
Statistics Theory
Risk Management
Copula-based Conditional Value at Risk (CCVaR) is defined as an alternative version of the classical Conditional Value at Risk (CVaR) for multivariate random vectors intended to be real-valued. We aim to generalize CCVaR to several dimensions (d>=2) when the dependence structure is given by an Archimedean copula. While previous research focused on the bivariate case, leaving the multivariate version unexplored, an almost closed-form expression for CCVaR under an Archimedean copula is derived. The conditions under which this risk measure satisfies coherence are then examined. Finally, numerical experiments based on real data are conducted to estimate CCVaR, and the results are compared with classical measures of Value at Risk (VaR) and Conditional Value at Risk (CVaR).
title On a multivariate extension for Copula-based Conditional Value at Risk
topic Portfolio Management
Statistics Theory
Risk Management
url https://arxiv.org/abs/2508.16132