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Estimating LGD Correlation

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Author Info
Jiří Witzany () (University of Economics, Prague, Czech Republic)

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Abstract

The paper proposes a new method to estimate correlation of account level Basle II Loss Given Default (LGD). The correlation determines the probability distribution of portfolio level LGD in the context of a copula model which is used to stress the LGD parameter as well as to estimate the LGD discount rate and other parameters. Given historical LGD observations we apply the maximum likelihood method to estimate the best correlation parameter. The method is applied and analyzed on a real large data set of unsecured retail account level LGDs and the corresponding monthly series of the average LGDs. The correlation estimate comes relatively close to the PD regulatory correlation. It is also tested for stability using the bootstrapping method and used in an efficient formula to estimate ex ante one-year stressed LGD, i.e. one-year LGD quantiles on any reasonable probability level.

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File URL: http://ies.fsv.cuni.cz/default/file/download/id/11267
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Publisher Info
Paper provided by Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies in its series Working Papers IES with number 2009/21.

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Length: 15 pages
Date of creation: Sep 2009
Date of revision: Sep 2009
Handle: RePEc:fau:wpaper:wp2009_21

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Related research
Keywords: credit risk; recovery rate; loss given default; correlation; regulatory capital;

Find related papers by JEL classification:
G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

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This page was last updated on 2009-12-19.


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