Modelling LGD for unsecured personal loans: decision tree approach
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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.
KeywordsBasel II consumer credit LGD
- Altman EI, Resti A and Sironi A (2005). Recovery Risk . Risk Books: London.Google Scholar
- Box GE and Cox DR (1964). An analysis of transformations . J R Stat Soc B 26: 211–246.Google Scholar
- Frye J (2004). Recovery risk and economic capital . In: Dev A (ed). Economic Capital: A Practitioner's Guide. Risk Books: London, pp. 49–68.Google Scholar
- Gupton GM and Stein RM (2005). LossCalc v2; Dynamic Prediction of LGD . Moody KMV: New York.Google Scholar
- Lucas A (2006). Basel II problem solving, www3.imperial.ac.uk/portal/pls/portallive/docs/1/7287866.PDF.
- McNab H and Wynn A (2000). Principles and Practice of Consumer Credit Risk Management . CIB Publishing: Canterbury.Google Scholar