Modelling credit risk of portfolio of consumer loans
Modelling credit risk of portfolio of consumer loans
One of the issues that the Basel Accord highlighted was that though techniques for estimating the probability of default and hence the credit risk of loans to individual consumers are well established, there were no models for the credit risk of portfolios of such loans. Motivated by the reduced form models for credit risk in corporate lending, we will seek to exploit the obvious parallels between behavioural scores and the ratings ascribed to corporate bonds to build consumer lending equivalents. We incorporate both consumer specific ratings and macroeconomic factors in the framework of Cox Proportional Hazard models. Our results show that default intensities of consumers are significantly influenced by macro factors. Such models then can be used as the basis for simulation approaches to estimate the credit risk of portfolios of consumer loans.
finance, credit risk, survival analysis, credit scoring
University of Southampton
Malik, M.
47627317-ba9f-4fb3-a231-0a77d857eb07
Thomas, L.
a3ce3068-328b-4bce-889f-965b0b9d2362
2007
Malik, M.
47627317-ba9f-4fb3-a231-0a77d857eb07
Thomas, L.
a3ce3068-328b-4bce-889f-965b0b9d2362
Malik, M. and Thomas, L.
(2007)
Modelling credit risk of portfolio of consumer loans
(University of Southampton Discussion Paper Series - Centre for Operational Research, Management Sciences and Information Systems, CORMSIS-07-12)
Southampton, UK.
University of Southampton
25pp.
Record type:
Monograph
(Discussion Paper)
Abstract
One of the issues that the Basel Accord highlighted was that though techniques for estimating the probability of default and hence the credit risk of loans to individual consumers are well established, there were no models for the credit risk of portfolios of such loans. Motivated by the reduced form models for credit risk in corporate lending, we will seek to exploit the obvious parallels between behavioural scores and the ratings ascribed to corporate bonds to build consumer lending equivalents. We incorporate both consumer specific ratings and macroeconomic factors in the framework of Cox Proportional Hazard models. Our results show that default intensities of consumers are significantly influenced by macro factors. Such models then can be used as the basis for simulation approaches to estimate the credit risk of portfolios of consumer loans.
This record has no associated files available for download.
More information
Published date: 2007
Keywords:
finance, credit risk, survival analysis, credit scoring
Identifiers
Local EPrints ID: 58377
URI: http://eprints.soton.ac.uk/id/eprint/58377
ISSN: 1356-3548
PURE UUID: f8bd0ad7-1625-405e-a0fc-258409aa08fe
Catalogue record
Date deposited: 15 Aug 2008
Last modified: 11 Dec 2021 17:56
Export record
Contributors
Author:
M. Malik
Author:
L. Thomas
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics