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Concurrent credit portfolio losses
We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806874/ https://www.ncbi.nlm.nih.gov/pubmed/29425246 http://dx.doi.org/10.1371/journal.pone.0190263 |
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author | Sicking, Joachim Guhr, Thomas Schäfer, Rudi |
author_facet | Sicking, Joachim Guhr, Thomas Schäfer, Rudi |
author_sort | Sicking, Joachim |
collection | PubMed |
description | We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetry in the copulas. Concurrent large portfolio losses are much more likely than small ones. Studying the dependences of these losses as a function of portfolio size, we moreover reveal that not only large portfolios of thousands of contracts, but also medium-sized and small ones with only a few dozens of contracts exhibit notable portfolio loss correlations. Anticipated idiosyncratic effects turn out to be negligible. These are troublesome insights not only for investors in structured fixed-income products, but particularly for the stability of the financial sector. JEL codes: C32, F34, G21, G32, H81. |
format | Online Article Text |
id | pubmed-5806874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58068742018-02-23 Concurrent credit portfolio losses Sicking, Joachim Guhr, Thomas Schäfer, Rudi PLoS One Research Article We consider the problem of concurrent portfolio losses in two non-overlapping credit portfolios. In order to explore the full statistical dependence structure of such portfolio losses, we estimate their empirical pairwise copulas. Instead of a Gaussian dependence, we typically find a strong asymmetry in the copulas. Concurrent large portfolio losses are much more likely than small ones. Studying the dependences of these losses as a function of portfolio size, we moreover reveal that not only large portfolios of thousands of contracts, but also medium-sized and small ones with only a few dozens of contracts exhibit notable portfolio loss correlations. Anticipated idiosyncratic effects turn out to be negligible. These are troublesome insights not only for investors in structured fixed-income products, but particularly for the stability of the financial sector. JEL codes: C32, F34, G21, G32, H81. Public Library of Science 2018-02-09 /pmc/articles/PMC5806874/ /pubmed/29425246 http://dx.doi.org/10.1371/journal.pone.0190263 Text en © 2018 Sicking et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sicking, Joachim Guhr, Thomas Schäfer, Rudi Concurrent credit portfolio losses |
title | Concurrent credit portfolio losses |
title_full | Concurrent credit portfolio losses |
title_fullStr | Concurrent credit portfolio losses |
title_full_unstemmed | Concurrent credit portfolio losses |
title_short | Concurrent credit portfolio losses |
title_sort | concurrent credit portfolio losses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806874/ https://www.ncbi.nlm.nih.gov/pubmed/29425246 http://dx.doi.org/10.1371/journal.pone.0190263 |
work_keys_str_mv | AT sickingjoachim concurrentcreditportfoliolosses AT guhrthomas concurrentcreditportfoliolosses AT schaferrudi concurrentcreditportfoliolosses |