This paper investigates co-movements among the Chinese stock market, Shanghai International Energy Exchange (INE) crude oil futures and West Texas Intermediate (WTI) futures. We use Copula models to capture tail dependencies employ VAR-BEKK-GARCH model examine direction of volatility spillovers. find that there are positively time-varying dependency relationships three markets. Compared with co...

This paper proposes a new model for the dynamics of correlation matrices, where are driven by likelihood score with respect to matrix logarithm matrix. In analogy exponential GARCH volatility, this transformation ensures that matrices remain positive definite, even in high dimensions. For conditional distribution returns, we assume student-t copula explain dependence structure and univariate ma...

The finance literature provides substantial evidence on the dependence between international bond markets across developed and emerging countries. Early works in this area were based linear models multivariate GARCH models. However, limitations of these paper re-examines non-linearity, tail structure government US, UK, Japan, Germany, Canada, France, Italy, Australia Eurozone, from January 1970...

‎One of the most useful tools for handling multivariate distributions of dependent variables in terms of their marginal distribution is a copula function‎. ‎The copula families capture a fair amount of attention due to their applicability and flexibility in describing the non-Gaussian spatial dependent data‎. ‎The particular properties of the spatial copula are rarely ...

This paper investigates the forecasting ability of four different GARCH models and the Kalman filter method. The four GARCH models applied are the bivariate GARCH, BEKK GARCH, GARCH-GJR and the GARCH-X model. The paper also compares the forecasting ability of the non-GARCH model the Kalman method. Forecast errors based on twenty UK company weekly stock return (based on timevary beta) forecasts ...

In this paper, we consider different issues related to Archimedean copulae and positive dependence. In the first part, we characterize Archimedean copulae that possess positive dependence properties such as multivariate total positivity of order 2 ðMTP2Þ and conditionally increasingness in sequence. In the second part, we investigate conditions for exchangeable binary sequences to admit an Arch...

Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions. No extra differentiability conditions on the generators are needed. r 2007 Elsevier B.V. All rights reserved.