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Predicting default of a small business using different definitions of financial distress / S-M. Lin in Journal of the operational research society (JORS), Vol. 63 N° 4 (Avril 2012) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 63 N° 4 (Avril 2012) . - pp. 539–548 Titre : Predicting default of a small business using different definitions of financial distress Type de document : texte imprimé Auteurs : S-M. Lin, Auteur ; J. Ansell, Auteur ; G. Andreeva, Auteur Année de publication : 2012 Article en page(s) : pp. 539–548 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Credit  scoring  Small  business  Risk  Banking  Coarse  classification Index. décimale : 001.424 Résumé : The paper introduces a number of risk-rating models for UK small businesses applying an accounting-based approach, which uses financial ratios to predict corporate bankruptcy. An enhancement to these models is considered through features typical to retail credit risk modelling. A common problem of default prediction consists in the relatively small number of bankruptcies or real defaults available for model-building. In order to expand the ‘default’ group beyond bankrupt companies, the paper considers adopting four different definitions of ‘a failing business’ by investigating combinations of financial distress levels. The impact of each default definition on the choice of predictor variables and on the model's predictive accuracy is explored. In addition, the paper examines the value of categorizing financial ratios used as predictor variables. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n4/abs/jors201165a.html [article] Predicting default of a small business using different definitions of financial distress [texte imprimé] / S-M. Lin, Auteur ; J. Ansell, Auteur ; G. Andreeva, Auteur . - 2012 . - pp. 539–548. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 4 (Avril 2012) . - pp. 539–548 Mots-clés : Credit  scoring  Small  business  Risk  Banking  Coarse  classification Index. décimale : 001.424 Résumé : The paper introduces a number of risk-rating models for UK small businesses applying an accounting-based approach, which uses financial ratios to predict corporate bankruptcy. An enhancement to these models is considered through features typical to retail credit risk modelling. A common problem of default prediction consists in the relatively small number of bankruptcies or real defaults available for model-building. In order to expand the ‘default’ group beyond bankrupt companies, the paper considers adopting four different definitions of ‘a failing business’ by investigating combinations of financial distress levels. The impact of each default definition on the choice of predictor variables and on the model's predictive accuracy is explored. In addition, the paper examines the value of categorizing financial ratios used as predictor variables. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n4/abs/jors201165a.html