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COVID-19 and credit risk: A long memory perspective
The COVID-19 pandemic shows significant impacts on credit risk, which is the key concern of corporate bond holders such as insurance companies. Credit risk, quantified by agency credit ratings and credit default swaps (CDS), usually exhibits long-range dependence (LRD) due to potential credit rating...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820093/ https://www.ncbi.nlm.nih.gov/pubmed/35153349 http://dx.doi.org/10.1016/j.insmatheco.2022.01.008 |
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author | Yin, Jie Han, Bingyan Wong, Hoi Ying |
author_facet | Yin, Jie Han, Bingyan Wong, Hoi Ying |
author_sort | Yin, Jie |
collection | PubMed |
description | The COVID-19 pandemic shows significant impacts on credit risk, which is the key concern of corporate bond holders such as insurance companies. Credit risk, quantified by agency credit ratings and credit default swaps (CDS), usually exhibits long-range dependence (LRD) due to potential credit rating persistence. With rescaled range analysis and a novel affine forward intensity model embracing a flexible range of Hurst parameters, our studies on Moody's rating data and CDS prices reveal that default intensities have shifted from the long-range to the short-range dependence regime during the COVID-19 period, implying that the historical credit performance becomes much less relevant for credit prediction during the pandemic. This phenomenon contrasts sharply with previous financial-related crises. Specifically, both the 2008 subprime mortgage and the Eurozone crises did not experience such a great decline in the level of LRD in sovereign CDS. Our work also sheds light on the use of historical series in credit risk prediction for insurers' investment. |
format | Online Article Text |
id | pubmed-8820093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88200932022-02-08 COVID-19 and credit risk: A long memory perspective Yin, Jie Han, Bingyan Wong, Hoi Ying Insur Math Econ Article The COVID-19 pandemic shows significant impacts on credit risk, which is the key concern of corporate bond holders such as insurance companies. Credit risk, quantified by agency credit ratings and credit default swaps (CDS), usually exhibits long-range dependence (LRD) due to potential credit rating persistence. With rescaled range analysis and a novel affine forward intensity model embracing a flexible range of Hurst parameters, our studies on Moody's rating data and CDS prices reveal that default intensities have shifted from the long-range to the short-range dependence regime during the COVID-19 period, implying that the historical credit performance becomes much less relevant for credit prediction during the pandemic. This phenomenon contrasts sharply with previous financial-related crises. Specifically, both the 2008 subprime mortgage and the Eurozone crises did not experience such a great decline in the level of LRD in sovereign CDS. Our work also sheds light on the use of historical series in credit risk prediction for insurers' investment. Elsevier B.V. 2022-05 2022-02-07 /pmc/articles/PMC8820093/ /pubmed/35153349 http://dx.doi.org/10.1016/j.insmatheco.2022.01.008 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yin, Jie Han, Bingyan Wong, Hoi Ying COVID-19 and credit risk: A long memory perspective |
title | COVID-19 and credit risk: A long memory perspective |
title_full | COVID-19 and credit risk: A long memory perspective |
title_fullStr | COVID-19 and credit risk: A long memory perspective |
title_full_unstemmed | COVID-19 and credit risk: A long memory perspective |
title_short | COVID-19 and credit risk: A long memory perspective |
title_sort | covid-19 and credit risk: a long memory perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820093/ https://www.ncbi.nlm.nih.gov/pubmed/35153349 http://dx.doi.org/10.1016/j.insmatheco.2022.01.008 |
work_keys_str_mv | AT yinjie covid19andcreditriskalongmemoryperspective AT hanbingyan covid19andcreditriskalongmemoryperspective AT wonghoiying covid19andcreditriskalongmemoryperspective |