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Markov-Switching Time-Varying Copula Modeling of Dependence Structure between Oil and GCC Stock Markets

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DOI: 10.4236/ojs.2016.64048    1,549 Downloads   2,391 Views Citations

ABSTRACT

This paper proposes a Markov-switching copula model to examine the presence of regime change in the time-varying dependence structure between oil price changes and stock market returns in six GCC countries. The marginal distributions are assumed to follow a long-memory model while the copula parameters are supposed to evolve according to the Markov-switching process. Furthermore, we estimate the Value-at-Risk (VaR) based on the proposed approach. The empirical results provide evidence of three regime changes, representing precrisis, financial crisis and post-crisis, in the dependence structure between energy and GCC stock markets. In particular, in the pre- and post-crisis regimes, there is no dependence, while in the crisis regime, there is significant tail dependence. For OPEC countries, we find lower tail dependence whereas in non-OPEC countries, we see upper tail dependence. VaR experiments show that the Markov-switching time- varying copula model performs better than the time-varying copula model.

Cite this paper

Boubaker, H. and Sghaier, N. (2016) Markov-Switching Time-Varying Copula Modeling of Dependence Structure between Oil and GCC Stock Markets. Open Journal of Statistics, 6, 565-589. doi: 10.4236/ojs.2016.64048.

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