Portfolio value at risk with Copula-ARMAX-GJRGARCH model: Evidence from the gold and silver futures

Authors

  • Wo-Chiang Lee
  • Hui-Na Lin

Keywords:

Copula function, value at risk, Kendall’s tau, Joe-Clayton copula.

Abstract

In the article, we construct the copula-based VaR-ARMAX-GJR-GARCH model. The purpose is to examine the
strategic commodities comovements and directional relationships with these variables, as well as estimating
the VaR of a gold and silver portfolio. Based on our empirical results, we conclude that the crude oil for the
gold and silver price in Comex and Tocom market is both a significant and positive sign whether before or
during uptrend. As to US/Japan yen exchange rate, there is still no consistent result. That is to say there is
no evidence that an influence of the variable to gold and silver futures exists. In addition, the time-varying
SJC copula, which allows for different dependence in the tails, produced the best result regardless of being
before or during uptrend. Furthermore, concerning risk management, copula-based models more accurately
assess portfolio risk.

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Published

2018-02-10