Leasing's impact on firm credit ratings
Autor(a) principal: | |
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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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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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 |
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