Article ID: | iaor2010935 |
Volume: | 61 |
Issue: | 3 |
Start Page Number: | 393 |
End Page Number: | 398 |
Publication Date: | Mar 2010 |
Journal: | Journal of the Operational Research Society |
Authors: | Mues C, Thomas L C, Matuszyk A |
Keywords: | credit risk |
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.