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Correlated Default Risk

Authors: Sanjiv Ranjan Das; Laurence Freed; Gary Geng; Nikunj Kapadia;

Correlated Default Risk

Abstract

Using a comprehensive and unique data set from Moody's, we examine correlations between default risk for over 7,000 U.S. public firms. This is the first paper to empirically document the correlation structure both in the time-series and in the cross-section across almost all U.S. non-financial firms. We find that default probabilities of issuers vary over time, and are positively correlated. Moreover, the correlations across firms also vary over time systematically, in a manner that is related to an economy-wide level of default risk. Joint default risk increases as the default risk in the economy increases. Our results also suggest that the magnitude of joint default depends on the quality of issuers; highest quality issuers have higher default correlations than medium grade firms.

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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!
92
Top 10%
Top 1%
Top 10%
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