In this paper we introduce a new model, based on the synthesis of conditional copulas and Gaussian graphical models under a copula -- vine framework. The use of the copula vine permits each pair between the market and a stock to have their own dynamics. In that case the asset keeps its...

Copula functions have become the standard tool in modelling multivariate dependence over the last decade hence there are toolboxes available for simulating and estimating copulas in the major statistical software such as R/S+, SAS and MATLAB. However recent developments in copulas like copula...

DSGE models may be misspecified in many dimensions, which can affect their forecasting performance. To correct for these misspecifications we can apply conditional information from other models or judgment. Conditional information is not accurate, and can be provided as a probability...

Sorting and spillovers can create correlation in individual outcomes. In this situation, standard discrete choice estimators cannot consistently estimate the probability of joint and conditional events, and alternative estimators can yield incoherent statistical models or intractable estimators....

Several models of how to price synthetic CDOs are presented. The study focuses on comparison of classical Gaussian copula with NIG copula, double t-copula and gaussian stochastic correlation model. Because the the t-copula is technically the most demanding of the presented approaches and usually...

Pacific, Europe, USA, and emerging markets with multivariate t copula based on GARCH model, and to measure portfolio risk with value at risk (VaR) and component VaR (CVaR). The 1,454 REIT price index return observations were collected from 1 Dec 2009 to 29 June 2015 and calculated based on a...

In this paper, we use the copula model so as to compute the Optimal Hedge Ratio. Hedging with OTC markets is probably the most common way of managing risk, and much research has been done within this field. Our investigation contributes to the current literature insofar as we aim to hedge Credit...

Consider a random sample from a continuous multivariate distribution function F with copula C. In order to test the null hypothesis that C belongs to a certain parametric family, we construct an under H0 asymptotically distribution-free process that serves as a tests generator. The process is a...

The recently introduced German wind power futures have brought the opportunity to address the problem of volume risk in wind power generation directly. In this paper, we study the hedging benefits of these instruments in the context of gas-fired power plants by employing a strategy that allows...

We propose a multidimensional extension for Patton's (2006) bivariate Dynamic Copulas. We also introduce a Dynamic Mixture Copula whose parameters and weights follow well defined dynamic processes. Both approaches are more flexible to adapt to financial data than currently available Copula...