Journal of the Operational Research Society

, Volume 61, Issue 3, pp 393–398

Modelling LGD for unsecured personal loans: decision tree approach

  • A Matuszyk
  • C Mues
  • L C Thomas
Part 1: Consumer Credit Risk Modelling

DOI: 10.1057/jors.2009.67

Cite this article as:
Matuszyk, A., Mues, C. & Thomas, L. J Oper Res Soc (2010) 61: 393. doi:10.1057/jors.2009.67
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Abstract

The New Basel Accord, which was implemented in 2007, has made a significant difference to the use of modelling within financial organisations. In particular it has highlighted the importance of Loss Given Default (LGD) modelling. We propose a decision tree approach to modelling LGD for unsecured consumer loans where the uncertainty in some of the nodes is modelled using a mixture model, where the parameters are obtained using regression. A case study based on default data from the in-house collections department of a UK financial organisation is used to show how such regression can be undertaken.

Keywords

Basel IIconsumer creditLGD

Copyright information

© Operational Research Society 2010

Authors and Affiliations

  • A Matuszyk
    • 1
  • C Mues
    • 1
  • L C Thomas
    • 1
  1. 1.University of SouthamptonSouthamptonUK