IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v13y2025i4p88-d1620636.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/13/4/88/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/13/4/88/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    3. 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.
    4. 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).
    5. 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).
    6. 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).
    7. Sheenan, Lisa, 2023. "Green bonds, conventional bonds and geopolitical risk," Finance Research Letters, Elsevier, vol. 58(PC).
    8. 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.
    9. Bakas, Dimitrios & Triantafyllou, Athanasios, 2019. "Volatility forecasting in commodity markets using macro uncertainty," Energy Economics, Elsevier, vol. 81(C), pages 79-94.
    10. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khan, Nasir & Mejri, Sami & Hammoudeh, Shawkat, 2024. "How do global commodities react to increasing geopolitical risks? New insights into the Russia-Ukraine and Palestine-Israel conflicts," Energy Economics, Elsevier, vol. 138(C).
    2. Huang, Shupei & Wang, Xinya & Ji, Qiang, 2025. "How unexpected geopolitical risk affect the nonlinear spillover among energy and metal markets?," Energy Economics, Elsevier, vol. 142(C).
    3. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    4. Ren, Xiaohang & Fu, Chenjia & Tao, Lizhu & Yuan, Li & Xu, Ziyue, 2025. "Financialization trends and climate policy uncertainty: Implications for China’s nonferrous metal market," Research in International Business and Finance, Elsevier, vol. 77(PA).
    5. Karanasos, M. & Yfanti, S., 2021. "On the Economic fundamentals behind the Dynamic Equicorrelations among Asset classes: Global evidence from Equities, Real estate, and Commodities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    6. Zhang, Jinjun & Usman, Muhammad, 2025. "Redefining energy policy for sustainable growth: The interplay of fossil fuel subsidies, energy security risks, and energy balances in shaping geopolitical stability," Energy, Elsevier, vol. 322(C).
    7. Nevrla, Matěj, 2020. "Systemic risk in European financial and energy sectors: Dynamic factor copula approach," Economic Systems, Elsevier, vol. 44(4).
    8. Costola, Michele & Lorusso, Marco, 2022. "Spillovers among energy commodities and the Russian stock market," Journal of Commodity Markets, Elsevier, vol. 28(C).
    9. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    10. Ashok, Shruti & Corbet, Shaen & Dhingra, Deepika & Goodell, John W. & Kumar, Satish & Yadav, Miklesh Prasad, 2022. "Are energy markets informationally smarter than equity markets? Evidence from the COVID-19 experience," Finance Research Letters, Elsevier, vol. 47(PB).
    11. Ohashi, Kazuhiko & Okimoto, Tatsuyoshi, 2016. "Increasing trends in the excess comovement of commodity prices," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 48-64.
    12. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    13. Ordu, Beyza Mina & Oran, Adil & Soytas, Ugur, 2018. "Is food financialized? Yes, but only when liquidity is abundant," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 82-96.
    14. Sercan Demiralay & Selcuk Bayraci & H. Gaye Gencer, 2019. "Time-varying diversification benefits of commodity futures," Empirical Economics, Springer, vol. 56(6), pages 1823-1853, June.
    15. Chen, Zhuoyi & Liu, Yuanyuan & Zhang, Hongwei, 2024. "Can geopolitical risks impact the long-run correlation between crude oil and clean energy markets? Evidence from a regime-switching analysis," Renewable Energy, Elsevier, vol. 229(C).
    16. Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    17. Bianchi, Robert J. & Fan, John Hua & Todorova, Neda, 2020. "Financialization and de-financialization of commodity futures: A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    18. Zibin Cao & Weini Soh & Nazrul Hisyam Ab Razak & Bany Ariffin Amin Noordin, 2025. "Beyond borders: Decoding the influence of economic development, money confidence, financial market, and purchasing power on currency internationalization," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-23, February.
    19. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    20. Zhu, Bo & Lin, Renda & Deng, Yuanyue & Chen, Pingshe & Chevallier, Julien, 2021. "Intersectoral systemic risk spillovers between energy and agriculture under the financial and COVID-19 crises," Economic Modelling, Elsevier, vol. 105(C).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:13:y:2025:i:4:p:88-:d:1620636. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.