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Multivariate Survival Modelling: A Unified Approach with Copulas


Pierre Georges


affiliation not provided to SSRN

Arnaud-Guilhem Lamy


affiliation not provided to SSRN

Emeric Nicolas


affiliation not provided to SSRN

Guillaume Quibel


affiliation not provided to SSRN

Thierry Roncalli


Universite d'Evry

May 28, 2001


Abstract:     
In this paper, we review the use of copulas for multivariate survival modelling. In particular, we study properties of survival copulas and discuss the dependence measures associated to this construction. Then, we consider the problem of competing risks. We derive the distribution of the failure time and order statistics. After having presented statistical inference, we finally provide financial applications which concern the life time value (attrition models), the link between default, prepayment and credit life, the measure of risk for a credit portfolio and the pricing of credit derivatives.

Number of Pages in PDF File: 72

Keywords: Survival copula, frailty model, ageing concepts, competing risks, failure time, order statistics, prepayment, credit risk measure, default mode, correlated defaults, risk-bucket capital charge, default digital put, credit default swap, first-to-default

JEL Classification: G00

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Date posted: November 26, 2007  

Suggested Citation

Georges, Pierre, Lamy, Arnaud-Guilhem, Nicolas, Emeric, Quibel, Guillaume and Roncalli, Thierry, Multivariate Survival Modelling: A Unified Approach with Copulas (May 28, 2001). Available at SSRN: http://ssrn.com/abstract=1032559 or http://dx.doi.org/10.2139/ssrn.1032559

Contact Information

Pierre Georges
affiliation not provided to SSRN ( email )
No Address Available
Arnaud-Guilhem Lamy
affiliation not provided to SSRN ( email )
No Address Available
Emeric Nicolas
affiliation not provided to SSRN ( email )
No Address Available
Guillaume Quibel
affiliation not provided to SSRN ( email )
No Address Available
Thierry Roncalli (Contact Author)
Universite d'Evry ( email )
Bd. Francois Mitterrand
F-91025 Evry Cedex, 91028
France
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