Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models

We consider portfolio credit risk modeling with a focus on two approaches, the factor model, and the copula model. While other models have received greater scrutiny, both factor and cupola models have received little attention although these are appropriate for rating-based portfolio risk analysis....

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Main Author: Azamighaimasi, Arsalan
Format: Article
Language:English
Published: Universiti Utara Malaysia 2012
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/25012/1/IJBF%209%203%202012%201%2014.pdf
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author Azamighaimasi, Arsalan
author_facet Azamighaimasi, Arsalan
author_sort Azamighaimasi, Arsalan
collection UUM
description We consider portfolio credit risk modeling with a focus on two approaches, the factor model, and the copula model. While other models have received greater scrutiny, both factor and cupola models have received little attention although these are appropriate for rating-based portfolio risk analysis. We review the two models with emphasis on the joint default probability. The copula function describes the dependence structure of a multivariate random variable. In this paper, it is used as a practical to simulation of generate portfolio with different copula, we only use Gaussian and t-copula case. And we generate portfolio default distributions and study the sensitivity of commonly used risk measures with respect to the approach in modeling the dependence structure of the portfolio.
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spelling uum-250122018-10-25T00:28:24Z https://repo.uum.edu.my/id/eprint/25012/ Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models Azamighaimasi, Arsalan HG Finance We consider portfolio credit risk modeling with a focus on two approaches, the factor model, and the copula model. While other models have received greater scrutiny, both factor and cupola models have received little attention although these are appropriate for rating-based portfolio risk analysis. We review the two models with emphasis on the joint default probability. The copula function describes the dependence structure of a multivariate random variable. In this paper, it is used as a practical to simulation of generate portfolio with different copula, we only use Gaussian and t-copula case. And we generate portfolio default distributions and study the sensitivity of commonly used risk measures with respect to the approach in modeling the dependence structure of the portfolio. Universiti Utara Malaysia 2012 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/25012/1/IJBF%209%203%202012%201%2014.pdf Azamighaimasi, Arsalan (2012) Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models. The International Journal of Banking and Finance, 9 (3). pp. 1-14. ISSN 1617-722 http://ijbf.uum.edu.my/index.php/previous-issues/147-the-international-journal-of-banking-and-finance-ijbf-vol-9-no-3-september-2012
spellingShingle HG Finance
Azamighaimasi, Arsalan
Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title_full Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title_fullStr Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title_full_unstemmed Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title_short Portfolio Risk and Dependence Modeling: Application of Factor and Copula Models
title_sort portfolio risk and dependence modeling application of factor and copula models
topic HG Finance
url https://repo.uum.edu.my/id/eprint/25012/1/IJBF%209%203%202012%201%2014.pdf
work_keys_str_mv AT azamighaimasiarsalan portfolioriskanddependencemodelingapplicationoffactorandcopulamodels