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Energy, metals, cereals and G7 indices: Russia–Ukraine conflict and risk spillovers

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  • Leone, Maria
  • Manelli, Alberto
  • Pace, Roberta

Abstract

The economies of each State are increasingly interconnected and depend on international trade. The intricate set of connections and transactions was put to the test during the Russia–Ukraine conflict. The TVP-VAR model is used to investigate the connectedness among G7 stock indices and commodity markets. Results show that spillovers are dynamic and crisis sensitive and the response at the war has been instantaneous and in counter trend. Therefore, the war significantly affected most of the G7 stock prices through commodity prices. This dependence on raw materials makes the G7 countries closely tied to the belligerents more sensitive than others to international crises and conflicts.

Suggested Citation

  • Leone, Maria & Manelli, Alberto & Pace, Roberta, 2025. "Energy, metals, cereals and G7 indices: Russia–Ukraine conflict and risk spillovers," Finance Research Letters, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:finlet:v:82:y:2025:i:c:s1544612325008165
    DOI: 10.1016/j.frl.2025.107557
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    as
    1. 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).
    2. Gaio, Luiz Eduardo & Stefanelli, Nelson Oliveira & Pimenta, Tabajara & Bonacim, Carlos Alberto Grespan & Gatsios, Rafael Confetti, 2022. "The impact of the Russia-Ukraine conflict on market efficiency: Evidence for the developed stock market," Finance Research Letters, Elsevier, vol. 50(C).
    3. Danjue Clancey-Shang & Chengbo Fu, 2023. "The Russia–Ukraine conflict and foreign stocks on the US market," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 24(1), pages 6-23, January.
    4. Laurent, Sébastien & Shi, Shuping, 2022. "Unit Root Test With High-Frequency Data," Econometric Theory, Cambridge University Press, vol. 38(1), pages 113-171, February.
    5. Burns, Christopher B. & Prager, Daniel L., 2024. "Do agricultural swaps co-move with equity markets? Evidence from the COVID-19 crisis," Journal of Commodity Markets, Elsevier, vol. 34(C).
    6. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    7. Di Yuan & Feipeng Zhang & Fenghui Cui & Shuo Wang, 2021. "Oil and BRIC Stock Markets before and after COVID-19: A Local Gaussian Correlation Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(6), pages 1592-1602, May.
    8. Lin, Zi-Luo & Ouyang, Wen-Pei & Yu, Qing-Rui, 2024. "Risk spillover effects of the Israel–Hamas War on global financial and commodity markets: A time–frequency and network analysis," Finance Research Letters, Elsevier, vol. 66(C).
    9. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    10. Dragomirescu-Gaina, Catalin & Monticini, Andrea & Salsano, Francesco, 2024. "Media news and market expectations: Insights into the ECB's new data-dependent policy regime," Economics Letters, Elsevier, vol. 244(C).
    11. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    12. Cheng, Zishu & Li, Mingchen & Cui, Ruhong & Wei, Yunjie & Wang, Shouyang & Hong, Yongmiao, 2024. "The impact of COVID-19 on global financial markets: A multiscale volatility spillover analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    13. Cui, Jinxin & Maghyereh, Aktham & Liao, Dijia, 2024. "Risk connectedness between international oil and stock markets during the COVID-19 pandemic and the Russia-Ukraine conflict: Fresh evidence from the higher-order moments," International Review of Economics & Finance, Elsevier, vol. 95(C).
    14. Pan, Qunxing & Sun, Yujia, 2023. "Changes in volatility leverage and spillover effects of crude oil futures markets affected by the 2022 Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 58(PB).
    15. Umar, Zaghum & Polat, Onur & Choi, Sun-Yong & Teplova, Tamara, 2022. "The impact of the Russia-Ukraine conflict on the connectedness of financial markets," Finance Research Letters, Elsevier, vol. 48(C).
    16. Ma, Dandan & Zhang, Yunhan & Ji, Qiang & Zhao, Wan-Li & Zhai, Pengxiang, 2024. "Heterogeneous impacts of climate change news on China's financial markets," International Review of Financial Analysis, Elsevier, vol. 91(C).
    17. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    18. Wu, You & Ren, Wenting & Wan, Jieru & Liu, Xiaoxue, 2023. "Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
    19. Yousaf, Imran & Hunjra, Ahmed Imran & Alshater, Muneer M. & Bouri, Elie & Li, Yanshuang, 2023. "Multidimensional connectedness among the volatility of global financial markets around the Russian-Ukrainian conflict," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    20. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    21. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    22. Danjue Clancey-Shang & Chengbo Fu, 2023. "The Russia–Ukraine conflict and foreign stocks on the US market," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 24(1), pages 6-23, January.
    23. Benlagha, Noureddine & Omari, Salaheddine El, 2022. "Connectedness of stock markets with gold and oil: New evidence from COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 46(PB).
    24. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Petropoulou, Athina & Sivaprasad, Sheeja, 2023. "The impact of the Russian-Ukrainian war on global financial markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
    25. Lei, Lei & Aziz, Ghazala & Sarwar, Suleman & Waheed, Rida & Tiwari, Aviral Kumar, 2023. "Spillover and portfolio analysis for oil and stock market: A new insight across financial crisis, COVID-19 and Russian-Ukraine war," Resources Policy, Elsevier, vol. 85(PA).
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    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G01 - Financial Economics - - General - - - Financial Crises
    • 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

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