A Framework for LGD Validation of Retail Portfolios
Modeling and estimating the loss given default (LGD) is necessary for banks which apply for the Internal-Ratings Based Approach for retail portfolios. To validate LGD estimations there are only very few approaches discussed in the literature. In this paper, two models for validating relative LGDs and absolute losses are developed. The validation of relative LGDs is important for risk-adjusted credit pricing and interest rate calculations. The validation of absolute losses is important to meet the capital requirements of Basel II. Both models are tested with real data of a bank. Estimations are tested for robustness with in-sample and out-of-sample tests.
|Date of creation:||Aug 2009|
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- Greg M. Gupton, 2005. "Advancing Loss Given Default Prediction Models: How the Quiet Have Quickened," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 34(2), pages 185-230, 07.
- Robert A. Jarrow & David Lando & Stuart M. Turnbull, 2008.
"A Markov Model for the Term Structure of Credit Risk Spreads,"
World Scientific Book Chapters,
in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 18, pages 411-453
World Scientific Publishing Co. Pte. Ltd..
- Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 481-523.
- Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk, 2003. "Measuring the Discriminative Power of Rating Systems," Discussion Paper Series 2: Banking and Financial Studies 2003,01, Deutsche Bundesbank, Research Centre.
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