The copula theory is a fundamental instrument used in modeling multivariate distributions. It defines the joint distribution via the marginal distributions together with the dependence between variables. Copulas can also model dynamic structures. This paper offers a brief description of the copulas’ statistical procedures implemented on real market data. A direct application of the Gaussian copula to the assessment of a portfolio of loans belonging to one of the banks operating in Lebanon is illustrated in order to make the implementation of the copula simple and straightforward
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Copula modeling has been attracting substantial interest during the last several decades and is beco...
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variabl...
We present a new class of copulas constructed using piece-wise linear distortions of some standard c...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copula functions are mathematical tools that have been used in finance for approximately ten years. ...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Copula modeling has been attracting substantial interest during the last several decades and is beco...
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas provide a potential useful modeling tool to represent the dependence structure among variabl...
We present a new class of copulas constructed using piece-wise linear distortions of some standard c...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copula functions are mathematical tools that have been used in finance for approximately ten years. ...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Normal distribution of the residuals is the traditional assumption in the classical multivariate tim...
Copula modeling has been attracting substantial interest during the last several decades and is beco...
Copulas offer financial risk managers a powerful tool to model the dependence between the different ...