Probability equivalent level for CoVaR and VaR in bivariate Student-\textit{t} copulas with application to foreign exchange risk monitoring

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Main Authors: Flores-Silva, Daniela I., Sordo, Miguel A., Suárez-Llorens, Alfonso
Format: Preprint
Published: 2025
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author Flores-Silva, Daniela I.
Sordo, Miguel A.
Suárez-Llorens, Alfonso
author_facet Flores-Silva, Daniela I.
Sordo, Miguel A.
Suárez-Llorens, Alfonso
contents We extend the "probability-equivalent level of VaR and CoVaR" (PELCoV) methodology to accommodate bivariate risks modeled by a Student-t copula, relaxing the strong dependence assumptions of earlier approaches and enhancing the framework's ability to capture tail dependence and asymmetric co-movements. While the theoretical results are developed in a static setting, we implement them dynamically to track evolving risk spillovers over time. We illustrate the practical relevance of our approach through an application to the foreign exchange market, monitoring the USD/GBP exchange rate with the USD/EUR series as an auxiliary early warning indicator over the period 1999-2024. Our results highlight the potential of the extended PELCoV framework to detect early signs of risk underestimation during periods of financial stress.
format Preprint
id arxiv_https___arxiv_org_abs_2510_15934
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Probability equivalent level for CoVaR and VaR in bivariate Student-\textit{t} copulas with application to foreign exchange risk monitoring
Flores-Silva, Daniela I.
Sordo, Miguel A.
Suárez-Llorens, Alfonso
Risk Management
Probability
91G70 (Primary), 62H05 (Secondary), 62P05(Secondary), 60E15 (Secondary)
We extend the "probability-equivalent level of VaR and CoVaR" (PELCoV) methodology to accommodate bivariate risks modeled by a Student-t copula, relaxing the strong dependence assumptions of earlier approaches and enhancing the framework's ability to capture tail dependence and asymmetric co-movements. While the theoretical results are developed in a static setting, we implement them dynamically to track evolving risk spillovers over time. We illustrate the practical relevance of our approach through an application to the foreign exchange market, monitoring the USD/GBP exchange rate with the USD/EUR series as an auxiliary early warning indicator over the period 1999-2024. Our results highlight the potential of the extended PELCoV framework to detect early signs of risk underestimation during periods of financial stress.
title Probability equivalent level for CoVaR and VaR in bivariate Student-\textit{t} copulas with application to foreign exchange risk monitoring
topic Risk Management
Probability
91G70 (Primary), 62H05 (Secondary), 62P05(Secondary), 60E15 (Secondary)
url https://arxiv.org/abs/2510.15934