SMEs probability of default: the case of the hospitality sector

Detalhes bibliográficos
Autor(a) principal: Pacheco, Luís
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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spelling 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
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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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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