This survey reviews the large and growing literature on the use of pair-copula constructions (PCCs) in financial applications. Using a PCC, multivariate data that exhibit complex patterns of dependence can be modeled using bivariate copulae as simple building blocks. Hence, this model represents a very flexible way of constructing higher-dimensional copulae. In this paper, we survey inference methods and goodness-of-fit tests for such models, as well as empirical applications of the PCCs in finance and economics
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...
Copula modeling has been attracting substantial interest during the last several decades and is beco...
This survey reviews the large and growing literature on the use of pair-copula constructions (PCCs) ...
The modern pair-copula construction (PCC) approach, which defines complex multivariate structures th...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
Pairs trading is a technique that is widely practiced in the financial industry. Its relevance has b...
While there is a multitude of bivariate copula, the class of multivariate copulae is still quite res...
Building on the work of Bedford, Cooke and Joe, we show how multivariate data, which exhibit complex...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
Pairs trading is a market neutral trading strategy that was first introduced and implemented by Morg...
Pair-copulas, Multivariate modeling, Markowitz mean variance model, C16, C51, G11,
AbstractPair-copula constructions (PCCs) offer great flexibility in modeling multivariate dependence...
<p>Pair-copula constructions are flexible dependence models that use bivariate copulas as building b...
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...
Copula modeling has been attracting substantial interest during the last several decades and is beco...
This survey reviews the large and growing literature on the use of pair-copula constructions (PCCs) ...
The modern pair-copula construction (PCC) approach, which defines complex multivariate structures th...
In this paper we provide a review of copula theory with applications to finance. We illustrate the i...
Pairs trading is a technique that is widely practiced in the financial industry. Its relevance has b...
While there is a multitude of bivariate copula, the class of multivariate copulae is still quite res...
Building on the work of Bedford, Cooke and Joe, we show how multivariate data, which exhibit complex...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
Pairs trading is a market neutral trading strategy that was first introduced and implemented by Morg...
Pair-copulas, Multivariate modeling, Markowitz mean variance model, C16, C51, G11,
AbstractPair-copula constructions (PCCs) offer great flexibility in modeling multivariate dependence...
<p>Pair-copula constructions are flexible dependence models that use bivariate copulas as building b...
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...
Copula modeling has been attracting substantial interest during the last several decades and is beco...