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research article

Dynamic Credit-Collections Optimization

Chehrazi, Naveed
•
Glynn, Peter W.
•
Weber, Thomas A.  
June 1, 2019
Management Science

Based on a dynamic model of the stochastic repayment behavior exhibited by delinquent credit-card accounts as a self-exciting point process, a bank can control the arrival intensity of repayments using costly account-treatment actions. A semi-analytic solution to the corresponding stochastic optimal control problem is obtained using a recursive approach. For an affine cost of treatment interventions, the optimal policy in the two-dimensional (intensity, balance)-space is described by the frontier of the connected (but nonconvex) action region. The optimal policy significantly reduces a bank's loss given default and concentrates the collection effort onto the best possible interventions at the best possible times, so as to minimize the sum of the expected discounted outstanding balance and the discounted cost of the collection effort, thus maximizing the net value of any given delinquent credit-card account.

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Type
research article
DOI
10.1287/mnsc.2018.3070
Web of Science ID

WOS:000470112100015

Author(s)
Chehrazi, Naveed
Glynn, Peter W.
Weber, Thomas A.  
Date Issued

2019-06-01

Published in
Management Science
Article Number

2737—2769

Subjects

Management

•

Operations Research & Management Science

•

Business & Economics

•

Operations Research & Management Science

•

account valuation

•

consumer credit

•

credit collections

•

singular control

•

self exciting point process

•

stochastic optimization

•

control of hawkes processes

•

impulse control

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
OES  
Available on Infoscience
May 18, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/146482
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