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Business failure prediction: a comparison of classification methods

Michael Doumpos, Zopounidis Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/32CD41EE-3204-4B0F-8130-29E8D8954FF7-
Identifierhttp://link.springer.com/article/10.1007/BF02936387-
Identifierhttps://doi.org/10.1007/BF02936387-
Languageen-
Extent17 pagesen
TitleBusiness failure prediction: a comparison of classification methodsen
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
PublisherSpringer Verlagen
Content SummaryBusiness failure prediction is one of the most essential problems in the field of finance. The research on developing business failure prediction models has been focused on building classification models to distinguish among failed and non—failed firms. Such models are of major importance to financial decision makers (credit managers, managers of firms, investors, etc.); they serve as early warning systems of the failure probability of a corporate entity. The significance of business failure prediction models has been a major motivation for researchers to develop efficient approaches for the development of such models. This paper considers several such approaches, including multicriteria decision aid (MCDA) techniques, linear programming and performs a thorough comparison to traditional statistical techniques such as linear discriminant analysis and logit analysis. The comparison is performed using a sample of 144 US firms for a period of up to five years prior to failure.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-18-
Date of Publication2002-
SubjectBusiness failure prediction en
SubjectMulticriteria decision aiden
SubjectMultivariate statistical techniques en
SubjectComparisonen
Bibliographic CitationM. Doumpos and C. Zopounidis, "Business failure prediction: a comparison of classification methods," Operation. Res., vol. 2, no. 3, pp. 303-319, Sep. 2002. doi:10.1007/BF02936387en

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