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SSRN Electronic Journal
Article . 2009 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2009
Data sources: EconStor
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Loss, Default, and Loss Given Default Modeling

Authors: Jiří Witzany;

Loss, Default, and Loss Given Default Modeling

Abstract

The goal of the Basle II regulatory formula is to model the unexpected loss on a loan portfolio. The regulatory formula is based on an asymptotic portfolio unexpected default rate estimation that is multiplied by an estimate of the loss given default parameter. This simplification leads to a surprising phenomenon when the resulting regulatory capital depends on the definition of default that plays the role of a frontier between the unexpected default rate estimate and the LGD parameter whose unexpected development is not modeled at all or only partially. We study the phenomenon in the context of single-factor models where default and loss given default are driven by one systemic factor and by one or more idiosyncratic factors. In this theoretical framework we propose and analyze a relatively simple remedy of the problem requiring that the LGD parameter be estimated as a quantile on the required probability level.

Related Organizations
Keywords

G28, regulatory capital, ddc:330, credit risk, Insolvenz, Basler Akkord, recovery rate, correlation, Kreditrisiko, Verlust, G21, C14, credit risk, correlation, recovery rate, regulatory capital, Theorie, jel: jel:G21, jel: jel:C14, jel: jel:G28

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
bronze