Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies

Detalhes bibliográficos
Autor(a) principal: Carlos, Luís Miguel Gonçalves Oliveira Palma
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/15954
Resumo: The main objective of this dissertation is to test the applicability of Altman's bankruptcy prediction model of private companies in differentiating between companies that enter into “PER” and are successful in having an approved recovery plan and those that are unsuccessful. For this, the universe of companies that entered “PER” between May 2012 and December 2016 was collected, which translated into a viable sample of work consisting of 2,189 companies. The conclusions obtained allow us to state that when applied to the selected sample, the Altman model for private companies, in its initial formulation does not allow a proper distinction between the two groups of companies identified. Through the re-estimation of the Altman model, it was possible to obtain models that achieved results that were more positive. However, it is not possible to state that the model could robustly differentiate between companies with an approved plan and those without a plan approved without a significant error margin.
id RCAP_80d2e74ca235c4bf84d284bfa5fa098d
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/15954
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companiesAltman Z-scoreRecovery planFailureInsolvencyFalênciaEmpresa privadaRecuperação de empresasPlano de recuperaçãoInsolvênciaProjeto especial de revitalização (PER)The main objective of this dissertation is to test the applicability of Altman's bankruptcy prediction model of private companies in differentiating between companies that enter into “PER” and are successful in having an approved recovery plan and those that are unsuccessful. For this, the universe of companies that entered “PER” between May 2012 and December 2016 was collected, which translated into a viable sample of work consisting of 2,189 companies. The conclusions obtained allow us to state that when applied to the selected sample, the Altman model for private companies, in its initial formulation does not allow a proper distinction between the two groups of companies identified. Through the re-estimation of the Altman model, it was possible to obtain models that achieved results that were more positive. However, it is not possible to state that the model could robustly differentiate between companies with an approved plan and those without a plan approved without a significant error margin.A presente dissertação tem como principal objectivo testar a aplicabilidade do modelo de previsão de falências de Altman para empresas privadas na diferenciação entre as empresas que entram em “PER” e conseguem obter um plano de recuperação aprovado e aquelas que não o conseguem. Para tal, foi recolhido o universo de empresas que entraram em “PER” entre Maio de 2012 e Dezembro de 2016, no que se traduziu numa amostra viável de trabalho constituída por 2,189 empresas. As conclusões obtidas permitem afirmar que quando aplicado à amostra seleccionada, o modelo de Altman para empresas privadas, na sua formulação inicial, não permite distinguir correctamente entre os dois grupos de empresas identificados. Através da re-estimação dos coeficientes do modelo de Altman, foi possível obter modelos que obtivessem melhores resultados sem, no entanto, se poder afirmar que se obteve um modelo que cumprisse robustamente com o objectivo proposto de diferenciação entre empresas com plano aprovado e sem plano aprovado.2018-06-04T14:54:40Z2019-06-04T00:00:00Z2017-11-27T00:00:00Z2017-11-272017-10-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10071/15954TID:201769123engCarlos, Luís Miguel Gonçalves Oliveira Palmainfo: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:RCAAP2023-11-09T17:40:24Zoai:repositorio.iscte-iul.pt:10071/15954Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:18:42.174444Repositório 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 Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
title Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
spellingShingle Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
Carlos, Luís Miguel Gonçalves Oliveira Palma
Altman Z-score
Recovery plan
Failure
Insolvency
Falência
Empresa privada
Recuperação de empresas
Plano de recuperação
Insolvência
Projeto especial de revitalização (PER)
title_short Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
title_full Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
title_fullStr Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
title_full_unstemmed Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
title_sort Predicting successful "PER" reorganizations: Testing the applicability of Altman Z-Score on Portuguese companies
author Carlos, Luís Miguel Gonçalves Oliveira Palma
author_facet Carlos, Luís Miguel Gonçalves Oliveira Palma
author_role author
dc.contributor.author.fl_str_mv Carlos, Luís Miguel Gonçalves Oliveira Palma
dc.subject.por.fl_str_mv Altman Z-score
Recovery plan
Failure
Insolvency
Falência
Empresa privada
Recuperação de empresas
Plano de recuperação
Insolvência
Projeto especial de revitalização (PER)
topic Altman Z-score
Recovery plan
Failure
Insolvency
Falência
Empresa privada
Recuperação de empresas
Plano de recuperação
Insolvência
Projeto especial de revitalização (PER)
description The main objective of this dissertation is to test the applicability of Altman's bankruptcy prediction model of private companies in differentiating between companies that enter into “PER” and are successful in having an approved recovery plan and those that are unsuccessful. For this, the universe of companies that entered “PER” between May 2012 and December 2016 was collected, which translated into a viable sample of work consisting of 2,189 companies. The conclusions obtained allow us to state that when applied to the selected sample, the Altman model for private companies, in its initial formulation does not allow a proper distinction between the two groups of companies identified. Through the re-estimation of the Altman model, it was possible to obtain models that achieved results that were more positive. However, it is not possible to state that the model could robustly differentiate between companies with an approved plan and those without a plan approved without a significant error margin.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-27T00:00:00Z
2017-11-27
2017-10-31
2018-06-04T14:54:40Z
2019-06-04T00:00:00Z
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/10071/15954
TID:201769123
url http://hdl.handle.net/10071/15954
identifier_str_mv TID:201769123
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
application/octet-stream
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
_version_ 1799134746325811200