This paper deals with the construction of a semi-copula D, not necessarily exchangeable, whose “dependence” properties translate remarkable aspects of investors’ behavior. To achieve this aim, we propose a new version of the standard mean-variance framework. For our purpose, a particular class of utility functions G has been introduced. The induced transformation of G is considered and the definition of semi-copula D hinges on the family of the indifference curves of G
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
In this thesis we use the notion of copulas in order to create flexible multivariate volatility mode...
AbstractWe introduce some new species into the zoo of stochastic volatility and dependence parameter...
This paper deals with the construction of a semi-copula D, not necessarily exchangeable, whose “depe...
This paper deals with the construction of a semi-copula D, not necessarily exchangeable, whose “depe...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
There is well-documented evidence that the dependence structure of financial assets is often charact...
Copulas provide a potential useful modeling tool to represent the dependence structure among variabl...
Copula functions are mathematical tools that have been used in finance for approximately ten years. ...
My studies and my Ph.D. thesis deal with topics that recently emerged in the field of decisions unde...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
In this thesis we use the notion of copulas in order to create flexible multivariate volatility mode...
AbstractWe introduce some new species into the zoo of stochastic volatility and dependence parameter...
This paper deals with the construction of a semi-copula D, not necessarily exchangeable, whose “depe...
This paper deals with the construction of a semi-copula D, not necessarily exchangeable, whose “depe...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
There is well-documented evidence that the dependence structure of financial assets is often charact...
Copulas provide a potential useful modeling tool to represent the dependence structure among variabl...
Copula functions are mathematical tools that have been used in finance for approximately ten years. ...
My studies and my Ph.D. thesis deal with topics that recently emerged in the field of decisions unde...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
In this thesis we use the notion of copulas in order to create flexible multivariate volatility mode...
AbstractWe introduce some new species into the zoo of stochastic volatility and dependence parameter...