A Two-Factor Model for PD and LGD Correlation
25 Pages Posted: 22 Sep 2009 Last revised: 7 Mar 2011
Date Written: February 7, 2011
Abstract
The paper proposes a two-factor model to capture retail portfolio probability of default (PD) and loss given default (LGD) parameters and in particular their mutual correlation. We argue that the standard one-factor models standing behind the Basel II formula and used by a number of studies cannot capture well the correlation between PD and LGD on a large (asymptotic) portfolio. Parameters of the proposed model are estimated using the Markov Chain Monte Carlo (MCMC) method on a sample of real banking data. The results confirm positive stand-alone PD and LGD correlations and indicate a positive mutual PD x LGD correlation. The estimated Bayesian MCMC distributions of the parameters show that the stand alone correlations are strongly significant with a lower significance of the mutual correlation probably due to a too short observed time period.
Keywords: credit risk, recovery rate, loss given default, correlation, regulatory capital
JEL Classification: G21, G28, C14
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
A Risk-Factor Model Foundation for Ratings-Based Bank Capital Rules
-
The Link between Default and Recovery Rates
By Edward I. Altman, Brooks Brady, ...
-
The Link between Default and Recovery Rates: Theory, Empirical Evidence and Implications
By Edward I. Altman, Brooks Brady, ...
-
The Link between Default and Recovery Rates: Theory, Empirical Evidence and Implications
By Edward I. Altman, Brooks Brady, ...
-
The Link between Default and Recovery Rates: Theory, Empirical Evidence and Implications
By Edward I. Altman, Brooks Brady, ...
-
The Link between Default and Recovery Rates: Theory, Empirical Evidence and Implications
By Edward I. Altman, Brooks Brady, ...
-
Understanding Aggregate Default Rates of High Yield Bonds
By Jean Helwege and Paul Kleiman