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Copulas for Finance - A Reading Guide and Some Applications


Eric Bouyé


Fonds de Réserve pour les Retraites (FRR); FERC, Warwick Business School

Valdo Durrleman


Ecole Polytechnique - Centre de Mathematiques Appliquees - CNRS

Ashkan Nikeghbali


affiliation not provided to SSRN

Gaël Riboulet


affiliation not provided to SSRN

Thierry Roncalli


Universite d'Evry

March 7, 2000


Abstract:     
Copulas are a general tool to construct multivariate distributions and to investigate dependence structure between random variables. However, the concept of copula is not popular in Finance. In this paper, we show that copulas can be extensively used to solve many financial problems.

Number of Pages in PDF File: 69

Keywords: Multivariate distribution, dependence structure, concordance measures, scoring, Markov processes, risk management, extreme value theory, stress testing, operational risk, market risk, credit risk

JEL Classification: G00

working papers series


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Date posted: November 26, 2007 ; Last revised: April 3, 2009

Suggested Citation

Bouyé, Eric, Durrleman, Valdo, Nikeghbali, Ashkan, Riboulet, Gaël and Roncalli, Thierry, Copulas for Finance - A Reading Guide and Some Applications (March 7, 2000). Available at SSRN: http://ssrn.com/abstract=1032533 or http://dx.doi.org/10.2139/ssrn.1032533

Contact Information

Eric Bouyé
Fonds de Réserve pour les Retraites (FRR) ( email )
84 rue de Lille
Paris, 75007
France
FERC, Warwick Business School ( email )
Coventry CV4 7AL
United Kingdom
Valdo Durrleman
Ecole Polytechnique - Centre de Mathematiques Appliquees - CNRS ( email )
Palaiseau, 91128
France
Ashkan Nikeghbali
affiliation not provided to SSRN ( email )
No Address Available
Gaël Riboulet
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
Feedback to SSRN (Beta)


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