Understanding the determinants of government debt ratings: evidence for the two leading agencies

Detalhes bibliográficos
Autor(a) principal: Afonso, António
Data de Publicação: 2002
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/2736
Resumo: I conduct an analysis of the possible determinants of sovereign credit ratings assigned by the two leading credit rating agencies, Moody's and Standard and Poor's, by using both a linear and a logistic transformation of the rating scales. Of the large number of variables that can be used, the set of explanatory variables selected in this study is significant in explaining the credit ratings. Namely, six variables appear to be the most relevant to determine a country's credit rating: GDP per capita, external debt, level of economic development, default history, real growth rate and inflation rate.
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spelling Understanding the determinants of government debt ratings: evidence for the two leading agenciesCredit RatingsSovereign DebtI conduct an analysis of the possible determinants of sovereign credit ratings assigned by the two leading credit rating agencies, Moody's and Standard and Poor's, by using both a linear and a logistic transformation of the rating scales. Of the large number of variables that can be used, the set of explanatory variables selected in this study is significant in explaining the credit ratings. Namely, six variables appear to be the most relevant to determine a country's credit rating: GDP per capita, external debt, level of economic development, default history, real growth rate and inflation rate.ISEG – Departamento de EconomiaRepositório da Universidade de LisboaAfonso, António2010-12-22T10:14:33Z20022002-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/2736engAfonso, António. 2002. "Understanding the determinants of government debt ratings: evidence for the two leading agencies". Instituto Superior de Economia e Gestão - DE Working papers nº 2-2002/DE/CISEP0874-4548info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:33:55Zoai:www.repository.utl.pt:10400.5/2736Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:50:41.247506Repositório 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 Understanding the determinants of government debt ratings: evidence for the two leading agencies
title Understanding the determinants of government debt ratings: evidence for the two leading agencies
spellingShingle Understanding the determinants of government debt ratings: evidence for the two leading agencies
Afonso, António
Credit Ratings
Sovereign Debt
title_short Understanding the determinants of government debt ratings: evidence for the two leading agencies
title_full Understanding the determinants of government debt ratings: evidence for the two leading agencies
title_fullStr Understanding the determinants of government debt ratings: evidence for the two leading agencies
title_full_unstemmed Understanding the determinants of government debt ratings: evidence for the two leading agencies
title_sort Understanding the determinants of government debt ratings: evidence for the two leading agencies
author Afonso, António
author_facet Afonso, António
author_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Afonso, António
dc.subject.por.fl_str_mv Credit Ratings
Sovereign Debt
topic Credit Ratings
Sovereign Debt
description I conduct an analysis of the possible determinants of sovereign credit ratings assigned by the two leading credit rating agencies, Moody's and Standard and Poor's, by using both a linear and a logistic transformation of the rating scales. Of the large number of variables that can be used, the set of explanatory variables selected in this study is significant in explaining the credit ratings. Namely, six variables appear to be the most relevant to determine a country's credit rating: GDP per capita, external debt, level of economic development, default history, real growth rate and inflation rate.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-01-01T00:00:00Z
2010-12-22T10:14:33Z
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://hdl.handle.net/10400.5/2736
url http://hdl.handle.net/10400.5/2736
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Afonso, António. 2002. "Understanding the determinants of government debt ratings: evidence for the two leading agencies". Instituto Superior de Economia e Gestão - DE Working papers nº 2-2002/DE/CISEP
0874-4548
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ISEG – Departamento de Economia
publisher.none.fl_str_mv ISEG – Departamento de Economia
dc.source.none.fl_str_mv 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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