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Dependence structures among geopolitical risks, energy prices, and carbon emissions prices

Author

Listed:
  • Lau, Chi Keung
  • Soliman, Alaa M.
  • Albasu, Joseph
  • Gozgor, Giray

Abstract

This paper examines the short-, medium-, and long-run dependence structures for all distribution quantiles among carbon emissions prices, crude oil prices, natural gas prices, and geopolitical risks in Brazil, China, India, Russia, and South Africa from January 2003 to September 2019. The paper utilises the volatility spillover approach of Diebold-Yilmaz to identify the dependence structure among crude oil prices, natural gas prices, carbon emissions prices, and geopolitical risks within the variational mode decomposition-based copula method. It is observed that dependence structure across geopolitical risks and oil prices is time and frequency varying. It is also found that the dependence structure across geopolitical risks and oil prices is positive and valid at different periods and quantiles. The evidence has policy implications for hedging and portfolio risk diversification strategies and policymakers.

Suggested Citation

  • Lau, Chi Keung & Soliman, Alaa M. & Albasu, Joseph & Gozgor, Giray, 2023. "Dependence structures among geopolitical risks, energy prices, and carbon emissions prices," Resources Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723003148
    DOI: 10.1016/j.resourpol.2023.103603
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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