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Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets

Author

Listed:
  • Letife Özdemir

    (Department of International Trade and Finance, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, 03200 Afyonkarahisar, Turkey)

  • Necmiye Serap Vurur

    (Department of Accounting and Finance, Bolvadin Faculty of Applied Sciences, Afyon Kocatepe University, 03100 Afyonkarahisar, Turkey)

  • Ercan Ozen

    (Department of Finance and Banking, University of Uşak, 64000 Uşak, Turkey)

  • Beata Świecka

    (Institute of Economics and Finance, University of Szczecin, 71-001 Szczecin, Poland)

  • Simon Grima

    (Department of Insurance and Risk Management, Faculty of Economics, Management and Accountancy, University of Malta, MSD 2080 Msida, Malta
    Department of Business, Management and Economics, Faculty of Economics and Social Sciences, University of Latvia, LV-1586 Riga, Latvia)

Abstract

This study analyses the impact of the Geopolitical Risk Index (GPR) on the volatility of commodity futures returns from 4 January 2010 to 30 June 2023, using Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) models. It expands the research scope to include precious metals, agricultural products, energy, and industrial metals. The study differentiates between the impacts of geopolitical threat events and actions using GPRACT and GPRTHREAT indicators. Findings reveal that negative geopolitical shocks increase commodity returns’ volatility more than positive shocks. Specifically, gold, silver, and natural gas are negatively affected, while wheat, corn, soybeans, cotton, zinc, nickel, lead, WTI oil, and Brent oil experience positive effects. Platinum, cocoa, coffee, and copper show no significant impact. These insights highlight the importance of geopolitical risks on commodity market volatility and returns, aiding in risk management and portfolio diversification. Policymakers, financial market stakeholders, and investors can leverage these findings to better understand the GPR’s relationship with commodity markets and develop effective strategies.

Suggested Citation

  • Letife Özdemir & Necmiye Serap Vurur & Ercan Ozen & Beata Świecka & Simon Grima, 2025. "Volatility Modeling of the Impact of Geopolitical Risk on Commodity Markets," Economies, MDPI, vol. 13(4), pages 1-32, March.
    • Handle: RePEc:gam:jecomi:v:13:y:2025:i:4:p:88-:d:1620636
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    References listed on IDEAS

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    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. S. A. Raza & K. Guesmi & R. Benkraiem & R. Anwar, 2024. "Precious metals and currency markets during the Russia-Ukraine conflict’s inflationary periods," Post-Print hal-04720743, HAL.
    3. Khurshid, Adnan & Khan, Khalid & Rauf, Abdur & Cifuentes-Faura, Javier, 2024. "Effect of geopolitical risk on resources prices in the global and Russian-Ukrainian context: A novel Bayesian structural model," Resources Policy, Elsevier, vol. 88(C).
    4. Raza, Syed Ali & Guesmi, Khaled & Benkraiem, Ramzi & Anwar, Rija, 2024. "Precious metals and currency markets during the Russia-Ukraine conflict’s inflationary periods," Research in International Business and Finance, Elsevier, vol. 67(PA).
    5. Hao, Xinlei & Ma, Yong & Pan, Dongtao, 2024. "Geopolitical risk and the predictability of spillovers between exchange, commodity and stock markets," Journal of Multinational Financial Management, Elsevier, vol. 73(C).
    6. Sheenan, Lisa, 2023. "Green bonds, conventional bonds and geopolitical risk," Finance Research Letters, Elsevier, vol. 58(PC).
    7. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    8. Bakas, Dimitrios & Triantafyllou, Athanasios, 2019. "Volatility forecasting in commodity markets using macro uncertainty," Energy Economics, Elsevier, vol. 81(C), pages 79-94.
    9. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
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