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Consumer Credit ModelsPricing, Profit and Portfolios$
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Lyn C. Thomas

Print publication date: 2009

Print ISBN-13: 9780199232130

Published to Oxford Scholarship Online: May 2009

DOI: 10.1093/acprof:oso/9780199232130.001.1

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Profit scoring and dynamic models

Profit scoring and dynamic models

Chapter:
(p.204) 4 Profit scoring and dynamic models
Source:
Consumer Credit Models
Author(s):

Lyn C. Thomas

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199232130.003.0004

This chapter begins by reviewing the role of behavioural scoring and risk/reward matrices in the way a lender manages borrowers. It points out that current methods do not allow for the future changes in customer behaviour nor do they optimize the expected profit. It then shows how two approaches — Markov chain models and survival analysis ideas — can lead to dynamic profitability based models. In particular, the extension of Markov chains to Markov decision processes allows one to optimize decisions such as how to adjust the credit limit. In survival analysis, the proportional hazard models lead to hazard scores which play the same role as credit scores but work on all future performance periods. Moreover, the ideas of competing risk in survival analysis allows one to build profitability models that allow for default, prepayment, and attrition.

Keywords:   behavioural score, risk/reward matrix, Markov chains, Markov decision processes, credit limit, survival analysis, proportional hazards, hazard score, competing risk, attrition

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