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Geopolitical risk and extreme spillovers among oil-based energy commodities

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  • Kočenda, Evžen
  • Albrecht, Peter
  • Pastorek, Daniel

Abstract

We investigate the impact and propagation of geopolitical risk among oil-based energy commodities. First, we endogenously identify key geopolitical events affecting the connectedness among the oil-based commodities and then evaluate their transitory and persistent impacts. We identify four major shocks that resulted in persistent shifts in connectedness: the 9/11 attacks, the Crimea crisis, the political shift in Nigeria, and the Russian invasion of Ukraine. Using a quantile-based framework, we demonstrate that volatility transmissions due to geopolitical risk are not uniform but significantly depend on market conditions. Notably, heating oil and crude oil are identified as primary transmitters of risk, especially during economic turmoil. We quantify the negative economic and financial impacts of geopolitical risks through a multivariate dynamic portfolio analysis and through an impact on the profitability of ten global banks with high exposure to oil commodities. Our findings enhance the understanding of how geopolitical shocks influence connectedness and informed portfolio decisions, highlighting the need for adaptive strategies in finance.

Suggested Citation

  • Kočenda, Evžen & Albrecht, Peter & Pastorek, Daniel, 2025. "Geopolitical risk and extreme spillovers among oil-based energy commodities," Energy Economics, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:eneeco:v:152:y:2025:i:c:s0140988325008072
    DOI: 10.1016/j.eneco.2025.108977
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    Cited by:

    1. Peter Albrecht & Evžen Kočenda, 2026. "Event-driven changes in return connectedness among cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-37, December.

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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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q35 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Hydrocarbon Resources

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