Comparison of credit risk models for portfolios of retail loans based on behavioural scores
Comparison of credit risk models for portfolios of retail loans based on behavioural scores
The fact that the Basel Accord formula is based on a corporate credit risk model and the mis-rating of mortgage backed securities which led to the credit crunch have highlighted that developing credit risk models for portfolios of retail loans is far less advanced than the equivalent modelling for portfolios of corporate loans. Yet for more three decades behavioural scoring has proved a very successful way of estimating the credit risk of individual consumer loans. Almost all lenders produce a behavioural score for every one of their loans every month. This paper reviews the different models that are being developed to use these individual behavioural scores to assess the credit risk at a portfolio level. The models have parallels with the types of corporate credit risk models, but differ because of the need to deal with the features specific to retail loans such as the months on books effect. Thus there are structural type models, ones based on hazard rates and ones that use Markov chain stochastic approaches
209-232
Thomas, L.C.
a3ce3068-328b-4bce-889f-965b0b9d2362
Malik, M.
47627317-ba9f-4fb3-a231-0a77d857eb07
2010
Thomas, L.C.
a3ce3068-328b-4bce-889f-965b0b9d2362
Malik, M.
47627317-ba9f-4fb3-a231-0a77d857eb07
Thomas, L.C. and Malik, M.
(2010)
Comparison of credit risk models for portfolios of retail loans based on behavioural scores.
In,
Rausch, D and Scheule, H
(eds.)
Model Risk in Financial Crises.
London, UK.
Risk Books, .
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Abstract
The fact that the Basel Accord formula is based on a corporate credit risk model and the mis-rating of mortgage backed securities which led to the credit crunch have highlighted that developing credit risk models for portfolios of retail loans is far less advanced than the equivalent modelling for portfolios of corporate loans. Yet for more three decades behavioural scoring has proved a very successful way of estimating the credit risk of individual consumer loans. Almost all lenders produce a behavioural score for every one of their loans every month. This paper reviews the different models that are being developed to use these individual behavioural scores to assess the credit risk at a portfolio level. The models have parallels with the types of corporate credit risk models, but differ because of the need to deal with the features specific to retail loans such as the months on books effect. Thus there are structural type models, ones based on hazard rates and ones that use Markov chain stochastic approaches
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Published date: 2010
Identifiers
Local EPrints ID: 71278
URI: http://eprints.soton.ac.uk/id/eprint/71278
PURE UUID: 95b5ec1a-a9cb-4826-b89c-fed95e5207fb
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Date deposited: 02 Feb 2010
Last modified: 13 Mar 2024 20:24
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Contributors
Author:
L.C. Thomas
Author:
M. Malik
Editor:
D Rausch
Editor:
H Scheule
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