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Developments in consumer credit risk assessment

Record type: Monograph (Discussion Paper)

Consumer credit risk assessment involves the use of risk assessment tools to manage a borrower’s account from the time of pre-screening a potential application through to the management of the account during its life and possible write-off. The riskiness of lending to a credit applicant is usually estimated using a logistic regression model though researchers have considered many other types of classifier and preliminary evidence suggest support vector machines seem to be the most accurate. The training of a classifier on a sample of accepted applicants rather than on a sample representative of the applicant population seems not to result in bias though it does result in difficulties in setting the cut off. Profit scoring is a promising line of research and the Basel 2 accord has had profound implications for the way in which credit applicants are assessed and bank policies adopted.

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Citation

Crook, J.N., Edelman, D.B. and Thomas, L.C. (2006) Developments in consumer credit risk assessment , Southampton, UK University of Southampton 33pp. (Univeristy of Southampton Discussion Paper Series: Centre for Risk Research, CRR-06-09).

More information

Published date: 2006

Identifiers

Local EPrints ID: 58374
URI: http://eprints.soton.ac.uk/id/eprint/58374
ISSN: 1356-3548
PURE UUID: a0846d29-6cd1-45b4-8365-41b7db6f2e5e

Catalogue record

Date deposited: 15 Aug 2008
Last modified: 17 Jul 2017 14:27

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Contributors

Author: J.N. Crook
Author: D.B. Edelman
Author: L.C. Thomas

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