Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 50's, copulas have gained considerable popularity in several fields of applied mathematics, such as finance, insurance and reliability theory. Today, they represent a well-recognized tool for market and credit models, aggregation of risks, portfolio selection, etc. This book is divided into two main parts: Part I - 'Surveys' contains 11 chapters that provide an up-to-date account
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
There is well-documented evidence that the dependence structure of financial assets is often charact...
Joint work with a lot of people (see ref. further) The Working Paper “Copulas For Finance ” is avail...
The notion of copula was introduced by A. Sklar in 1959, when answering a question raised by M. Fréc...
Principles of Copula Theory explores the state of the art on copulas and provides you with the found...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Type: Theoretical project with simulation component if desired Description: Copulas describe the dep...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
This book introduces the main theoretical findings related to copulas and shows how statistical mode...
The Financial Risk Management (FRM) aims to identify, measure and manage risks in different sectors....
Exposé aux Gemeinsame Jahrestagung der Deutschen Mathematiker-Vereinigung und der Gesellschaft für D...
Copulas are used to specify dependence between two or more random variables. The last few years have...
In this survey we review the most important properties of copulas, several families of copulas that ...
Copulas are used to specify dependence between two or more random variables. The last few years have...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
There is well-documented evidence that the dependence structure of financial assets is often charact...
Joint work with a lot of people (see ref. further) The Working Paper “Copulas For Finance ” is avail...
The notion of copula was introduced by A. Sklar in 1959, when answering a question raised by M. Fréc...
Principles of Copula Theory explores the state of the art on copulas and provides you with the found...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
Type: Theoretical project with simulation component if desired Description: Copulas describe the dep...
Copulas provide a potential useful modeling tool to represent the dependence structure among variab...
This book introduces the main theoretical findings related to copulas and shows how statistical mode...
The Financial Risk Management (FRM) aims to identify, measure and manage risks in different sectors....
Exposé aux Gemeinsame Jahrestagung der Deutschen Mathematiker-Vereinigung und der Gesellschaft für D...
Copulas are used to specify dependence between two or more random variables. The last few years have...
In this survey we review the most important properties of copulas, several families of copulas that ...
Copulas are used to specify dependence between two or more random variables. The last few years have...
Understanding and quantifying dependence is at the core of all modelling efforts in the areas of ins...
There is well-documented evidence that the dependence structure of financial assets is often charact...
Joint work with a lot of people (see ref. further) The Working Paper “Copulas For Finance ” is avail...