SMEs probability of default: the case of the hospitality sector
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://tmstudies.net/index.php/ectms/article/view/770 |
Resumo: | In this paper we analyze a set of financial ratios from hospitality sector SMEs in order to ascertain which factors determine a greater probability of default. We choose the hospitality sector due to its importance in the Portuguese economy and has been particularly affected by the recent economic downturn and austerity measures and because, to the best of our knowledge, this sector has never been the object of such a study. Usually the literature seeks to find a set of variables which are significant in the estimation of default and multiple discriminant analysis and logit methodology are the main avenues of research on this area. Our data was collected from SABI and we followed logit methodology. Our results recommend that in ascertaining the creditworthiness of borrowers only debt and equity variables appear to be relevant to explaining failure, and overreliance on profit as an indication of good financial performance should be limited. The main reason for our rather poor results could be from problems with the data quality, possibly since the accounts published by firms aren’t reliable and tend to present negative results. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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SMEs probability of default: the case of the hospitality sectorFinancial management, hospitality sector, SME, Logit models, default modeling.In this paper we analyze a set of financial ratios from hospitality sector SMEs in order to ascertain which factors determine a greater probability of default. We choose the hospitality sector due to its importance in the Portuguese economy and has been particularly affected by the recent economic downturn and austerity measures and because, to the best of our knowledge, this sector has never been the object of such a study. Usually the literature seeks to find a set of variables which are significant in the estimation of default and multiple discriminant analysis and logit methodology are the main avenues of research on this area. Our data was collected from SABI and we followed logit methodology. Our results recommend that in ascertaining the creditworthiness of borrowers only debt and equity variables appear to be relevant to explaining failure, and overreliance on profit as an indication of good financial performance should be limited. The main reason for our rather poor results could be from problems with the data quality, possibly since the accounts published by firms aren’t reliable and tend to present negative results.University of Algarve2015-03-10T00:00:00Zjournal articlejournal articlejournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://tmstudies.net/index.php/ectms/article/view/770oai:ojs.pkp.sfu.ca:article/770Revista Encontros Científicos - Tourism & Management Studies; Vol 11, No 1 (2015); 153-159Tourism & Management Studies; Vol 11, No 1 (2015); 153-159Tourism & Management Studies; Vol 11, No 1 (2015); 153-159Revista Encontros Científicos - Tourism & Management Studies; Vol 11, No 1 (2015); 153-1592182-8466reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://tmstudies.net/index.php/ectms/article/view/770https://tmstudies.net/index.php/ectms/article/view/770/1300Copyright (c) 2016 Tourism & Management Studieshttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessPacheco, Luís2022-10-05T04:17:07ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
SMEs probability of default: the case of the hospitality sector |
title |
SMEs probability of default: the case of the hospitality sector |
spellingShingle |
SMEs probability of default: the case of the hospitality sector Pacheco, Luís Financial management, hospitality sector, SME, Logit models, default modeling. |
title_short |
SMEs probability of default: the case of the hospitality sector |
title_full |
SMEs probability of default: the case of the hospitality sector |
title_fullStr |
SMEs probability of default: the case of the hospitality sector |
title_full_unstemmed |
SMEs probability of default: the case of the hospitality sector |
title_sort |
SMEs probability of default: the case of the hospitality sector |
author |
Pacheco, Luís |
author_facet |
Pacheco, Luís |
author_role |
author |
dc.contributor.author.fl_str_mv |
Pacheco, Luís |
dc.subject.por.fl_str_mv |
Financial management, hospitality sector, SME, Logit models, default modeling. |
topic |
Financial management, hospitality sector, SME, Logit models, default modeling. |
description |
In this paper we analyze a set of financial ratios from hospitality sector SMEs in order to ascertain which factors determine a greater probability of default. We choose the hospitality sector due to its importance in the Portuguese economy and has been particularly affected by the recent economic downturn and austerity measures and because, to the best of our knowledge, this sector has never been the object of such a study. Usually the literature seeks to find a set of variables which are significant in the estimation of default and multiple discriminant analysis and logit methodology are the main avenues of research on this area. Our data was collected from SABI and we followed logit methodology. Our results recommend that in ascertaining the creditworthiness of borrowers only debt and equity variables appear to be relevant to explaining failure, and overreliance on profit as an indication of good financial performance should be limited. The main reason for our rather poor results could be from problems with the data quality, possibly since the accounts published by firms aren’t reliable and tend to present negative results. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-10T00:00:00Z |
dc.type.driver.fl_str_mv |
journal article journal article journal article info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://tmstudies.net/index.php/ectms/article/view/770 oai:ojs.pkp.sfu.ca:article/770 |
url |
https://tmstudies.net/index.php/ectms/article/view/770 |
identifier_str_mv |
oai:ojs.pkp.sfu.ca:article/770 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://tmstudies.net/index.php/ectms/article/view/770 https://tmstudies.net/index.php/ectms/article/view/770/1300 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Tourism & Management Studies http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Tourism & Management Studies http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
University of Algarve |
publisher.none.fl_str_mv |
University of Algarve |
dc.source.none.fl_str_mv |
Revista Encontros Científicos - Tourism & Management Studies; Vol 11, No 1 (2015); 153-159 Tourism & Management Studies; Vol 11, No 1 (2015); 153-159 Tourism & Management Studies; Vol 11, No 1 (2015); 153-159 Revista Encontros Científicos - Tourism & Management Studies; Vol 11, No 1 (2015); 153-159 2182-8466 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 |
|
repository.mail.fl_str_mv |
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1777301379350528000 |