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Modelling the profitability of credit cards by Markov decision processes

So, Mee Chi and Thomas, Lyn C. (2009) Modelling the profitability of credit cards by Markov decision processes , Southampton, GB University of Southampton 23pp. (Discussion Papers in Centre for Operational Research, Management Science and Information Systems, CORMSIS-09-09).

Record type: Monograph (Discussion Paper)

Abstract

This paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower's behavioural score and the decisions are what credit limit to give the borrower each period. In determining the Markov chain which best describes the borrower's performance second order as well as first order Markov chains are considered and estimation procedures that deal with the low default levels that may exist in the data are considered. A case study is used to show how the optimal credit limit can be derived

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Published date: June 2009

Identifiers

Local EPrints ID: 71324
URI: http://eprints.soton.ac.uk/id/eprint/71324
PURE UUID: dd19d68b-22b4-4b91-96ba-3973201b61fa

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Date deposited: 03 Feb 2010
Last modified: 19 Jul 2017 00:01

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Contributors

Author: Mee Chi So
Author: Lyn C. Thomas

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