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Détail de l'auteur
Auteur J. Crook
Documents disponibles écrits par cet auteur
Affiner la rechercheModelling take-up and profitability / P. Ma in Journal of the operational research society (JORS), Vol. 61 N° 3 (Mars 2010)
[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 Reject inference in survival analysis by augmentation / J. Banasik in Journal of the operational research society (JORS), Vol. 61 N° 3 (Mars 2010)
[article]
in Journal of the operational research society (JORS) > Vol. 61 N° 3 (Mars 2010) . - pp. 473–485
Titre : Reject inference in survival analysis by augmentation Type de document : texte imprimé Auteurs : J. Banasik, Auteur ; J. Crook, Auteur Année de publication : 2011 Article en page(s) : pp. 473–485 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Credit scoring Reject inference Augmentation Survival analysis Proportional hazard Index. décimale : 001.424 Résumé : The literature suggests that the commonly used augmentation method of reject inference achieves no appreciable benefit in the context of logistic and probit regression models. Ranking is not improved and the ability to discern a correct cut-off is undermined. This paper considers the application of augmentation to profit scoring applicants by means of survival analysis and by the Cox proportional hazard model, in particular. This new context involves more elaborate models answering more specific questions such as when will default occur and what will be its precise financial implication. Also considered in this paper is the extent to which the rejection rate is critical in the potential usefulness of reject inference and how augmentation meets that potential. The conclusion is essentially that augmentation achieves negative benefits only and that the scope for reject inference in this context pertains mainly to circumstances where a high proportion of applicants have been rejected. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n3/abs/jors2008180a.html [article] Reject inference in survival analysis by augmentation [texte imprimé] / J. Banasik, Auteur ; J. Crook, Auteur . - 2011 . - pp. 473–485.
Recherche opérationnelle
Langues : Anglais (eng)
in Journal of the operational research society (JORS) > Vol. 61 N° 3 (Mars 2010) . - pp. 473–485
Mots-clés : Credit scoring Reject inference Augmentation Survival analysis Proportional hazard Index. décimale : 001.424 Résumé : The literature suggests that the commonly used augmentation method of reject inference achieves no appreciable benefit in the context of logistic and probit regression models. Ranking is not improved and the ability to discern a correct cut-off is undermined. This paper considers the application of augmentation to profit scoring applicants by means of survival analysis and by the Cox proportional hazard model, in particular. This new context involves more elaborate models answering more specific questions such as when will default occur and what will be its precise financial implication. Also considered in this paper is the extent to which the rejection rate is critical in the potential usefulness of reject inference and how augmentation meets that potential. The conclusion is essentially that augmentation achieves negative benefits only and that the scope for reject inference in this context pertains mainly to circumstances where a high proportion of applicants have been rejected. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n3/abs/jors2008180a.html