Tail behavior of credit loss distributions
Andre Lucas,
Stefan Straetmans and
Pieter Klaassen
No 60, Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics
Abstract:
We derive the exact loss distribution for portfolios of bonds or cor-porate loans when the number of risks grows indefinitely. We show that in many cases this distribution lies in the maximal domain of attraction of the Weibull (Type III) limit law. Knowledge of the dis-tribution and its tail behavior is important for risk management in order not to over- or underestimate the likelihood of extreme credit losses for the portfolio as a whole. Conform to the credit risk literature, we assume that bond (or loan) defaults are triggered by a latent variable model involving two stochastic variables: systematic and idiosyncratic risk of the bond. It is shown that the tail behavior of these two variables translates into the tail behavior of the whole credit loss distribution. Surprisingly, even if both variables are thin-tailed, the credit loss distribution can have a finite tail index. Moreover, if idiosyncratic risk exhibits heavier tails than the systematic risk factor the tail index of the credit loss distribution can become extremely high, giving rise to a non-conventional shape of the credit loss distribution.
Keywords: credit risk; value-at-risk; tail events; tail index. (search for similar items in EconPapers)
JEL-codes: G11 (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/19990060.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vua:wpaper:1999-60
Access Statistics for this paper
More papers in Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics Contact information at EDIRC.
Bibliographic data for series maintained by R. Dam ().