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Impact of Geopolitical Risk on G7 Financial Markets: A Comparative Wavelet Analysis between 2014 and 2022

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  • Oana Panazan

    (Department of Engineering and Industrial Management, Transilvania University of Brasov, Eroilor Street 29, 500036 Brasov, Romania)

  • Catalin Gheorghe

    (Department of Engineering and Industrial Management, Transilvania University of Brasov, Eroilor Street 29, 500036 Brasov, Romania)

Abstract

This study investigates co-movements between the GPR generated by the Crimean Peninsula’s annexation in 2014, the Russia–Ukraine war in 2022, and the volatility of stock markets in the G7 states. Using wavelet analysis, concentrated co-movement was found for all indices in both periods. Contrary to the general perception, we find that the G7 financial market response in 2014 was robust. Using a time-varying parameter vector autoregression (TVP-VAR) test, we found a larger reaction in the amplitude of the G7 financial markets in 2022 than in 2014. The financial markets in France, Germany, and the UK showed a similar reaction in 2022. We have identified some common aspects, even if the political and military contexts of the two studied events were completely different. Our findings offer new and interesting implications for understanding how geopolitical risk affects financial assets for market participants with multiple investment horizons and strategies.

Suggested Citation

  • Oana Panazan & Catalin Gheorghe, 2024. "Impact of Geopolitical Risk on G7 Financial Markets: A Comparative Wavelet Analysis between 2014 and 2022," Mathematics, MDPI, vol. 12(3), pages 1-22, January.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:3:p:370-:d:1325296
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    References listed on IDEAS

    as
    1. He, Zhifang, 2023. "Geopolitical risks and investor sentiment: Causality and TVP-VAR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    2. Afees A. Salisu & Philip C. Omoke & Abdulsalam Abidemi Sikiru, 2023. "Geopolitical risk and global financial cycle: Some forecasting experiments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 3-16, January.
    3. Narayan, S. & Sriananthakumar, S. & Islam, S.Z., 2014. "Stock market integration of emerging Asian economies: Patterns and causes," Economic Modelling, Elsevier, vol. 39(C), pages 19-31.
    4. Matthieu Crozet & Julian Hinz, 2020. "Friendly fire: the trade impact of the Russia sanctions and counter-sanctions," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(101), pages 97-146.
    5. Mei, Dexiang & Ma, Feng & Liao, Yin & Wang, Lu, 2020. "Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models," Energy Economics, Elsevier, vol. 86(C).
    6. Bouri, Elie & Hammoud, Rami & Kassm, Christina Abou, 2023. "The effect of oil implied volatility and geopolitical risk on GCC stock sectors under various market conditions," Energy Economics, Elsevier, vol. 120(C).
    7. Zhou, Zhongbao & Lin, Ling & Li, Shuxian, 2018. "International stock market contagion: A CEEMDAN wavelet analysis," Economic Modelling, Elsevier, vol. 72(C), pages 333-352.
    8. Kamal, Md Rajib & Wahlstrøm, Ranik Raaen, 2023. "Cryptocurrencies and the threat versus the act event of geopolitical risk," Finance Research Letters, Elsevier, vol. 57(C).
    9. Wu, Feng-lin & Zhan, Xu-dong & Zhou, Jia-qi & Wang, Ming-hui, 2023. "Stock market volatility and Russia–Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
    10. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    11. Bougias, Alexandros & Episcopos, Athanasios & Leledakis, George N., 2022. "Valuation of European firms during the Russia–Ukraine war," Economics Letters, Elsevier, vol. 218(C).
    12. Boubaker, Sabri & Jouini, Jamel & Lahiani, Amine, 2016. "Financial contagion between the US and selected developed and emerging countries: The case of the subprime crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 14-28.
    13. Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
    14. 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.
    15. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2018. "Geopolitical risks and stock market dynamics of the BRICS," Economic Systems, Elsevier, vol. 42(2), pages 295-306.
    16. Wajih Abbassi & Vineeta Kumari & Dharen Kumar Pandey, 2022. "What makes firms vulnerable to the Russia–Ukraine crisis?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 24(1), pages 24-39, July.
    17. Vlad Mykhnenko, 2020. "Causes and Consequences of the War in Eastern Ukraine: An Economic Geography Perspective," Europe-Asia Studies, Taylor & Francis Journals, vol. 72(3), pages 528-560, March.
    18. Alqahtani, Abdullah & Bouri, Elie & Vo, Xuan Vinh, 2020. "Predictability of GCC stock returns: The role of geopolitical risk and crude oil returns," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 239-249.
    19. Mensi, Walid & Naeem, Muhammad Abubakr & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Dynamic and frequency spillovers between green bonds, oil and G7 stock markets: Implications for risk management," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 331-344.
    20. Nusair, Salah A. & Al-Khasawneh, Jamal A., 2022. "Impact of economic policy uncertainty on the stock markets of the G7 Countries:A nonlinear ARDL approach," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    21. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    22. Gabauer, David & Gupta, Rangan, 2018. "On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach," Economics Letters, Elsevier, vol. 171(C), pages 63-71.
    23. Francesco Giumelli, 2017. "The Redistributive Impact of Restrictive Measures on EU Members: Winners and Losers from Imposing Sanctions on Russia," Journal of Common Market Studies, Wiley Blackwell, vol. 55(5), pages 1062-1080, September.
    24. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    25. Ghulame Rubbaniy & Ali Awais Khalid & Aristeidis Samitas, 2021. "Are Cryptos Safe-Haven Assets during Covid-19? Evidence from Wavelet Coherence Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(6), pages 1741-1756, May.
    26. Kristoph K. R. Ullrich & Sandra Transchel, 2017. "Demand–Supply Mismatches and Stock Market Performance: A Retailing Perspective," Production and Operations Management, Production and Operations Management Society, vol. 26(8), pages 1444-1462, August.
    27. Ahmed H. Elsayed & Mohamad Husam Helmi, 2021. "Volatility transmission and spillover dynamics across financial markets: the role of geopolitical risk," Annals of Operations Research, Springer, vol. 305(1), pages 1-22, October.
    28. Wajih Abbassi & Vineeta Kumari & Dharen Kumar Pandey, 2022. "What makes firms vulnerable to the Russia–Ukraine crisis?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 24(1), pages 24-39, July.
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