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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

On Default Correlation: A Copula Function Approach

Li, David X.·2000·The Journal of Fixed Income

Abstract

This article studies the problem of default correlation. It introduces a random variable called “time-until-default” to denote the survival time of each defaultable entity or financial instrument, and defines the default correlation between two credit risks as the correlation coefficient between their survival times. The author explains why a copula function approach should be used to specify the joint distribution of survival times after marginal distributions of survival times are derived from market information, such as risky bond prices or asset swap spreads. He shows that the current approach to default correlation through asset correlation is equivalent to using a normal copula function. Numerical examples illustrate the use of copula functions in the valuation of some credit derivatives, such as credit default swaps and first-to-default contracts.

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Metadata

Authors
Li, D. X.
Venue
The Journal of Fixed Income
Published
2000-03-31
Volume
9
Issue
4
Pages
43-54
ISSN
  • 1059-8596 (ISSN-L)
  • 2168-8648
OpenAlex
W2282382832
Cited by
1,257
References
10
FWCI
20.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On Default Correlation: A Copula Function Approach. https://app.cochat.ai/papers/10.3905/jfi.2000.319253
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Li, D. X. (2000). On Default Correlation: A Copula Function Approach. The Journal of Fixed Income. https://doi.org/10.3905/jfi.2000.319253

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.