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Geopolitical risk trends and crude oil price predictability

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  • Zhang, Zhikai
  • He, Mengxi
  • Zhang, Yaojie
  • Wang, Yudong

Abstract

Motivated by recent investigations on the connections between geopolitical risk and crude oil prices, we implement a moving average strategy using the geopolitical risk index to identify risk uptrends and thus forecast real crude oil prices. The empirical results show that geopolitical risk trends can significantly predict oil prices both in- and out-of-sample. From an economic perspective, a mean-variance investor can achieve considerable gains using such a simple conversion of geopolitical risk. Moreover, we find that the geopolitical risk trend contains additional information content beyond financial, commodity, and oil fundamentals. The uptrend of geopolitical risk, which disrupts both economic activity and oil production, imposes stronger shocks on future oil demand than on supply, and thus results in a dramatic decrease in oil prices.

Suggested Citation

  • Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2022. "Geopolitical risk trends and crude oil price predictability," Energy, Elsevier, vol. 258(C).
  • Handle: RePEc:eee:energy:v:258:y:2022:i:c:s0360544222017273
    DOI: 10.1016/j.energy.2022.124824
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    Keywords

    Crude oil prices; Geopolitical risk trend; Out-of-sample predictability; Nonlinear relationship; Oil demand;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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