Using Payment Behaviour Data for Credit Risk Modelling
In this paper we evaluate payment scores in two contexts; that of predicting future payment behaviour and that of corporate failure prediction. The assessment of the ability and willingness of a firm to pay its creditors, and the likely timeliness of payments, are a major focus of both credit risk analysis (from the trade credit perspective) and government policy, although the latter issues have not been much studied in the academic literature. While failure prediction models are traditionally used as indicators of payment behaviour in the UK, payment behaviour prediction models are estimated and made available in the USA by the leading credit reporting agencies and the predictive abilities of such scores in the UK context are, therefore, worthy of consideration.We also consider the contribution that payment behaviour scores can make to predicting corporate failure. An important question is whether the availability of payment behaviour scores increases the overall information content of the credit report or merely re-packages information represented elsewhere. We find that payment behaviour data can be used to predict successfully future payment behaviour in a trade credit context, and can add incrementally to the predictivity of corporate failure models.
Volume (Year): 7 (2000)
Issue (Month): 3 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/CIJB20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/CIJB20|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lo, Andrew W., 1986. "Logit versus discriminant analysis : A specification test and application to corporate bankruptcies," Journal of Econometrics, Elsevier, vol. 31(2), pages 151-178, March.
- Edward I. Altman, 1998. "Credit Risk Measurement and Management: The Ironic Challenge in the Next Decade," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-003, New York University, Leonard N. Stern School of Business-.
When requesting a correction, please mention this item's handle: RePEc:taf:ijecbs:v:7:y:2000:i:3:p:333-346. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.