Documents disponibles écrits par cet auteur

Modelling take-up and profitability / P. Ma in Journal of the operational research society (JORS), Vol. 61 N° 3 (Mars 2010) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 61 N° 3 (Mars 2010) . - pp. 430–442 Titre : Modelling take-up and profitability Type de document : texte imprimé Auteurs : P. Ma, Auteur ; J. Crook, Auteur ; J. Ansell, Auteur Année de publication : 2011 Article en page(s) : pp. 430–442 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Profitability  Acceptance  Credit  Take-up Index. décimale : 001.424 Résumé : We use response data collected by a lender to estimate the probabilities of loan offers being accepted by the applicants and the survival probabilities of default and of paying back early. Combining all those together we estimated the expected profit surface for the lender at the time of application before making an offer to an applicant. The results show how a lender could find the optimal interest rate to increase the expected profit or its market share. We also consider how different optimal decision policies could be applied to different market segments. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n3/abs/jors200933a.html [article] Modelling take-up and profitability [texte imprimé] / P. Ma, Auteur ; J. Crook, Auteur ; J. Ansell, Auteur . - 2011 . - pp. 430–442. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 3 (Mars 2010) . - pp. 430–442 Mots-clés : Profitability  Acceptance  Credit  Take-up Index. décimale : 001.424 Résumé : We use response data collected by a lender to estimate the probabilities of loan offers being accepted by the applicants and the survival probabilities of default and of paying back early. Combining all those together we estimated the expected profit surface for the lender at the time of application before making an offer to an applicant. The results show how a lender could find the optimal interest rate to increase the expected profit or its market share. We also consider how different optimal decision policies could be applied to different market segments. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n3/abs/jors200933a.html

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