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Forecasting of dependence, market, and investment risks of a global index portfolio

Author

Listed:
  • Jose Arreola Hernandez

    (ESC [Rennes] - ESC Rennes School of Business)

  • Mazin A.M. Al Janabi

    (ITESM - Tecnológico de Monterrey = Monterrey Institute of Technology)

Abstract

This paper undertakes an in‐sample and rolling‐window comparative analysis of dependence, market, and portfolio investment risks on a 10‐year global index portfolio of developed, emerging, and commodity markets. We draw our empirical results by fitting vine copulas (e.g., r‐vines, c‐vines, d‐vines), IGARCH(1,1) RiskMetrics value‐at‐risk (VaR), and portfolio optimization methods based on risk measures such as the variance, conditional value‐at‐risk, conditional drawdown‐at‐risk, minimizing regret (Minimax), and mean absolute deviation. The empirical results indicate that all international indices tend to correlate strongly in the negative tail of the return distribution; however, emerging markets, relative to developed and commodity markets, exhibit greater dependence, market, and portfolio investment risks. The portfolio optimization shows a clear preference towards the gold commodity for investment, while Japan and Canada are found to have the highest and lowest market risk, respectively. The vine copula analysis identifies symmetry in the dependence dynamics of the global index portfolio modeled. Large VaR diversification benefits are produced at the 95% and 99% confidence levels by the modeled international index portfolio. The empirical results may appeal to international portfolio investors and risk managers for advanced portfolio management, hedging, and risk forecasting.

Suggested Citation

  • Jose Arreola Hernandez & Mazin A.M. Al Janabi, 2019. "Forecasting of dependence, market, and investment risks of a global index portfolio," Post-Print hal-02567413, HAL.
    • Handle: RePEc:hal:journl:hal-02567413
    DOI: 10.1002/for.2641
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    References listed on IDEAS

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    3. Zhang, Lixia & Bai, Jiancheng & Zhang, Yueyan & Cui, Can, 2023. "Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators," Research in International Business and Finance, Elsevier, vol. 65(C).

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