Copulas, Multivariate Risk - Neutral Distributions and Implied Dependence Functions
Author(s) -
Sophie Coutant,
Valdo Durrleman,
Grégory Rapuch,
Thierry Roncalli
Publication year - 2001
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1032562
Subject(s) - multivariate statistics , copula (linguistics) , econometrics , mathematics , tail dependence , multivariate analysis , statistics , economics
In this paper, we use copulas to define multivariate risk - neutral distributions. We can then derive general pricing formulas for multi - asset options and best possible bounds with given volatility smiles. Finally, we then apply the copula framework to define 'forward-looking' indicators of the dependence function between asset returns.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom