Higher-dimensional copula models and their application: Bayesian inference for D-vine pair-copula constructions based on different bivariate families - Couverture souple

Ma, Jiabao

 
9783639307061: Higher-dimensional copula models and their application: Bayesian inference for D-vine pair-copula constructions based on different bivariate families
Couverture souple
ISBN 10 : 3639307062 ISBN 13 : 9783639307061
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Modelling multivariate dependence structures has proven to be an important aspect in the field of finance. The reality of financial markets shows clear evidence that asset returns exhibit non-normal dependence. Since copula functions have been applied to the solution of these non-normal distributed problems, they find wide-ranging application in the fields of risk management, derivative pricing, hedging and optimal portfolio decisions. Pair-copula construction allows modelling of the dependence structure between different higher-dimensional time series. The author shows a flexible way to estimate and calibrate such higher-dimensional copula models and provides the application of U.S. industrial returns. In his simulation study he shows the sensitivity with respect to the copula parameter and different families using newly developed R-packages.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Modelling multivariate dependence structures has proven to be an important aspect in the field of finance. The reality of financial markets shows clear evidence that asset returns exhibit non-normal dependence. Since copula functions have been applied to the solution of these non-normal distributed problems, they find wide-ranging application in the fields of risk management, derivative pricing, hedging and optimal portfolio decisions. Pair-copula construction allows modelling of the dependence structure between different higher-dimensional time series. The author shows a flexible way to estimate and calibrate such higher-dimensional copula models and provides the application of U.S. industrial returns. In his simulation study he shows the sensitivity with respect to the copula parameter and different families using newly developed R-packages.

Biographie de l'auteur

Jiabao Ma, Dipl.-Math. Oec. Univ.: Studied Mathematical Finance and Economics at Technische Universität München (TUM) in Germany. Investmentcontroller at NORD/LB Asset Management, Hannover, Germany.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639307062
ISBN 13 
9783639307061
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
non disponible