Leasing's impact on firm credit ratings

Detalhes bibliográficos
Autor(a) principal: Bennett, Thomas Dales
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/16781
Resumo: By applying two of the most accurate credit rating models, Altman’s Z score and Emery and Cogger’s Lambda, I have been able to set up a framework for comparing small Portuguese companies with larger FTSE corporations. These two credit rating models have been used in this paper as proxies for a firms stability and overall success. In addition to calculating individual firm credit ratings, I have also obtained cross sectional data on firm leasing intensities which I have used as the independent variables in a number of regression analyses. By regressing the credit rating outputs on the cross sectional leasing data, I have been able to establish whether leasing bears any impact on a firms credit rating.
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spelling Leasing's impact on firm credit ratingsDomínio/Área Científica::Ciências Sociais::Economia e GestãoBy applying two of the most accurate credit rating models, Altman’s Z score and Emery and Cogger’s Lambda, I have been able to set up a framework for comparing small Portuguese companies with larger FTSE corporations. These two credit rating models have been used in this paper as proxies for a firms stability and overall success. In addition to calculating individual firm credit ratings, I have also obtained cross sectional data on firm leasing intensities which I have used as the independent variables in a number of regression analyses. By regressing the credit rating outputs on the cross sectional leasing data, I have been able to establish whether leasing bears any impact on a firms credit rating.Reis, Ricardo F.Veritati - Repositório Institucional da Universidade Católica PortuguesaBennett, Thomas Dales2015-03-03T15:10:15Z2013-06-2720132013-06-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/16781TID:201090716enginfo: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:RCAAP2023-10-17T01:35:21Zoai:repositorio.ucp.pt:10400.14/16781Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:13:58.445637Repositório 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 Leasing's impact on firm credit ratings
title Leasing's impact on firm credit ratings
spellingShingle Leasing's impact on firm credit ratings
Bennett, Thomas Dales
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Leasing's impact on firm credit ratings
title_full Leasing's impact on firm credit ratings
title_fullStr Leasing's impact on firm credit ratings
title_full_unstemmed Leasing's impact on firm credit ratings
title_sort Leasing's impact on firm credit ratings
author Bennett, Thomas Dales
author_facet Bennett, Thomas Dales
author_role author
dc.contributor.none.fl_str_mv Reis, Ricardo F.
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Bennett, Thomas Dales
dc.subject.por.fl_str_mv Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description By applying two of the most accurate credit rating models, Altman’s Z score and Emery and Cogger’s Lambda, I have been able to set up a framework for comparing small Portuguese companies with larger FTSE corporations. These two credit rating models have been used in this paper as proxies for a firms stability and overall success. In addition to calculating individual firm credit ratings, I have also obtained cross sectional data on firm leasing intensities which I have used as the independent variables in a number of regression analyses. By regressing the credit rating outputs on the cross sectional leasing data, I have been able to establish whether leasing bears any impact on a firms credit rating.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-27
2013
2013-06-27T00:00:00Z
2015-03-03T15:10:15Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/16781
TID:201090716
url http://hdl.handle.net/10400.14/16781
identifier_str_mv TID:201090716
dc.language.iso.fl_str_mv eng
language eng
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.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
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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
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