Reverse stress testing via multivariate modeling with vine copulas

Fuente: arXiv
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Auteurs principaux: Zhou, Menglin, Nolde, Natalia
Format: Preprint
Publié: 2024
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author Zhou, Menglin
Nolde, Natalia
author_facet Zhou, Menglin
Nolde, Natalia
contents As an important tool in financial risk management, stress testing aims to evaluate the stability of financial portfolios under some potential large shocks from extreme yet plausible scenarios of risk factors. The effectiveness of a stress test crucially depends on the choice of stress scenarios. In this paper we consider a pragmatic approach to stress scenario estimation that aims to address several practical challenges in the context of real life financial portfolios of currencies from a bank. Our method utilizes a flexible multivariate modelling framework based on vine copulas.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00109
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reverse stress testing via multivariate modeling with vine copulas
Zhou, Menglin
Nolde, Natalia
Applications
As an important tool in financial risk management, stress testing aims to evaluate the stability of financial portfolios under some potential large shocks from extreme yet plausible scenarios of risk factors. The effectiveness of a stress test crucially depends on the choice of stress scenarios. In this paper we consider a pragmatic approach to stress scenario estimation that aims to address several practical challenges in the context of real life financial portfolios of currencies from a bank. Our method utilizes a flexible multivariate modelling framework based on vine copulas.
title Reverse stress testing via multivariate modeling with vine copulas
topic Applications
url https://arxiv.org/abs/2404.00109