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Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis

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  • Inacio, C.M.C.
  • Kristoufek, L.
  • David, S.A.

Abstract

The ongoing conflict between Russia and Ukraine has raised concerns about the stability of energy supplies from Russia, one of the largest crude oil, refined products and natural gas producers in the world. This study aims to assess the impact of the conflict on crude oil and refined product prices globally by applying bivariate and multivariate different cross-correlation methods to evaluate the prices relations covering three periods, namely P0 (from February 2019 to February 2020, before Covid-19 pandemic and also before the Russia–Ukraine war), P1 (from February 2021 to February 2022, during the Covid-19 pandemic and before the Russia–Ukraine war) and P2 (from February 2022 to February 2023, during both the Covid-19 pandemic and Russia–Ukraine war). The results indicate a significant difference between P0 and the other periods (P1 and P2) for most bivariate pairs and multivariate groups. When comparing P1 and P2, there was predominantly no significant difference for Heating Oil - Brent Crude Oil pair but a significant difference for Gasoil - Brent Crude Oil, suggesting a higher impact of the war on European diesel prices compared to the US diesel. Moreover, the adopted methods highlight the differential impacts and contagion effects observed in different energy commodities, emphasizing the complexity and unique dynamics within each market.

Suggested Citation

  • Inacio, C.M.C. & Kristoufek, L. & David, S.A., 2023. "Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    • Handle: RePEc:eee:phsmap:v:626:y:2023:i:c:s0378437123006398
    DOI: 10.1016/j.physa.2023.129084
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    References listed on IDEAS

    as
    1. Zebende, G.F. & da Silva Filho, A.M., 2018. "Detrended Multiple Cross-Correlation Coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 91-97.
    2. Davis, Christopher Mark (Дэвис, Кристофер Марк), 2016. "The Ukraine Conflict, Economic-Military Power Balances and Economic Sanctions [Конфликт На Украине: Соотношение Военно-Политических Сил И Экономические Санкции]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 196-216, August.
    3. Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
    4. da Silva, Marcus Fernandes & de Area Leão Pereira, Éder Johnson & da Silva Filho, Aloisio Machado & de Castro, Arleys Pereira Nunes & Miranda, José Garcia Vivas & Zebende, Gilney Figueira, 2016. "Quantifying the contagion effect of the 2008 financial crisis between the G7 countries (by GDP nominal)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 1-8.
    5. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    6. He, Ling-Yun & Chen, Shu-Peng, 2011. "A new approach to quantify power-law cross-correlation and its application to commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3806-3814.
    7. Iikka Korhonen & Heli Simola, 2022. "How Important Are Russia's External Economic Links?," Asian Economic Papers, MIT Press, vol. 21(2), pages 1-13, Summer.
    8. Paiva, Aureliano Sancho Souza & Rivera-Castro, Miguel Angel & Andrade, Roberto Fernandes Silva, 2018. "DCCA analysis of renewable and conventional energy prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1408-1414.
    9. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    10. Vasily Astrov & Richard Grieveson & Artem Kochnev & Michael Landesmann & Olga Pindyuk, 2022. "Possible Russian Invasion of Ukraine, Scenarios for Sanctions, and Likely Economic Impact on Russia, Ukraine, and the EU," wiiw Policy Notes 55, The Vienna Institute for International Economic Studies, wiiw.
    11. Guedes, E.F. & da Silva Filho, A.M. & Zebende, G.F., 2021. "Detrended multiple cross-correlation coefficient with sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    12. Guedes, E.F. & Zebende, G.F., 2019. "DCCA cross-correlation coefficient with sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    13. Zebende, G.F., 2011. "DCCA cross-correlation coefficient: Quantifying level of cross-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 614-618.
    14. Chen, Yingyuan & Cai, Lihui & Wang, Ruofan & Song, Zhenxi & Deng, Bin & Wang, Jiang & Yu, Haitao, 2018. "DCCA cross-correlation coefficients reveals the change of both synchronization and oscillation in EEG of Alzheimer disease patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 171-184.
    15. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    16. Davis, Christopher Mark (Дэвис, Кристофер Марк), 2016. "The Ukraine conflict, economic-military power balances and economic sanctions [Конфликт На Украине: Соотношение Военно-Политических Сил И Экономические Санкции]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 7-29, August.
    17. Christopher Mark Davis, 2016. "The Ukraine conflict, economic–military power balances and economic sanctions," Post-Communist Economies, Taylor & Francis Journals, vol. 28(2), pages 167-198, April.
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    Cited by:

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    2. Zhou, Xiaoran & Enilov, Martin & Parhi, Mamata, 2024. "Does oil spin the commodity wheel? Quantile connectedness with a common factor error structure across energy and agricultural markets," Energy Economics, Elsevier, vol. 132(C).

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