How Does Credit Default Swap Volatility Influence the Z-Score Models?
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320 |
Resumo: | The literature on credit models has produced a large body of empirical research, but no consensus has emerged and scholars often disagree about the same empirical evidence. We contribute to the current literature by studying the relationship between Z-Score Models and Credit Default Swaps (CDS). The CDS provide a clean measure of risk as they are the compensation that market participants require for bearing credit default risk. We examine the CDS spreads, CDS market volatility and CDS annual performance and their relationship with Multi Discriminant Analysis Credit models (Altman’s Z-Score (1968), Z-Score’ (1983), Z-Model (1993) and Ohlson’s O-Score (1980)).Using a sample of 50 European companies and their annual CDS data available over the period 2006-2016, we find a strong negative relationship between all the credit models and the CDS market volatility and CDS market performance. We found little evidence between the models and the CDS spreads. These results suggest the notion that Credit Default Swaps have direct relevance to debtholders. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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How Does Credit Default Swap Volatility Influence the Z-Score Models?CDS Volatility; CDS spread; Z-Score; Default Probability The literature on credit models has produced a large body of empirical research, but no consensus has emerged and scholars often disagree about the same empirical evidence. We contribute to the current literature by studying the relationship between Z-Score Models and Credit Default Swaps (CDS). The CDS provide a clean measure of risk as they are the compensation that market participants require for bearing credit default risk. We examine the CDS spreads, CDS market volatility and CDS annual performance and their relationship with Multi Discriminant Analysis Credit models (Altman’s Z-Score (1968), Z-Score’ (1983), Z-Model (1993) and Ohlson’s O-Score (1980)).Using a sample of 50 European companies and their annual CDS data available over the period 2006-2016, we find a strong negative relationship between all the credit models and the CDS market volatility and CDS market performance. We found little evidence between the models and the CDS spreads. These results suggest the notion that Credit Default Swaps have direct relevance to debtholders.ISVOUGA-Instituto Superior de Entre Douro e Vouga2018-09-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320Portuguese Journal of Finance, Management and Accounting; Vol 4, No 8 (2018)2183-3826reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320/172Copyright (c) 2018 Portuguese Journal of Finance, Management and Accountinginfo:eu-repo/semantics/openAccessSacadura, JoseBarreto, Francisco2023-05-31T13:58:42Zoai:u3isjournal.isvouga.pt:article/320Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:56:43.845487Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
title |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
spellingShingle |
How Does Credit Default Swap Volatility Influence the Z-Score Models? Sacadura, Jose CDS Volatility; CDS spread; Z-Score; Default Probability |
title_short |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
title_full |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
title_fullStr |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
title_full_unstemmed |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
title_sort |
How Does Credit Default Swap Volatility Influence the Z-Score Models? |
author |
Sacadura, Jose |
author_facet |
Sacadura, Jose Barreto, Francisco |
author_role |
author |
author2 |
Barreto, Francisco |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Sacadura, Jose Barreto, Francisco |
dc.subject.por.fl_str_mv |
CDS Volatility; CDS spread; Z-Score; Default Probability |
topic |
CDS Volatility; CDS spread; Z-Score; Default Probability |
description |
The literature on credit models has produced a large body of empirical research, but no consensus has emerged and scholars often disagree about the same empirical evidence. We contribute to the current literature by studying the relationship between Z-Score Models and Credit Default Swaps (CDS). The CDS provide a clean measure of risk as they are the compensation that market participants require for bearing credit default risk. We examine the CDS spreads, CDS market volatility and CDS annual performance and their relationship with Multi Discriminant Analysis Credit models (Altman’s Z-Score (1968), Z-Score’ (1983), Z-Model (1993) and Ohlson’s O-Score (1980)).Using a sample of 50 European companies and their annual CDS data available over the period 2006-2016, we find a strong negative relationship between all the credit models and the CDS market volatility and CDS market performance. We found little evidence between the models and the CDS spreads. These results suggest the notion that Credit Default Swaps have direct relevance to debtholders. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320 |
url |
http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320 http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/320/172 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Portuguese Journal of Finance, Management and Accounting info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Portuguese Journal of Finance, Management and Accounting |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ISVOUGA-Instituto Superior de Entre Douro e Vouga |
publisher.none.fl_str_mv |
ISVOUGA-Instituto Superior de Entre Douro e Vouga |
dc.source.none.fl_str_mv |
Portuguese Journal of Finance, Management and Accounting; Vol 4, No 8 (2018) 2183-3826 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131642269270016 |