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Volatility spillovers in the Russian stock market: Responses to exogenous shocks

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  • Balash, V.

    (Saratov State University, Saratov, Russia)

  • Faizliev, A.

    (Saratov State University, Saratov, Russia)

Abstract

This paper analyzes the effects of volatility spillovers in the Russian stock market for the Moscow Exchange sectors' indices for 2020-2024. Volatility spillovers between sectors' indices allow us to characterize the risk spread structure and identify sectors that are sources and recipients of risks, and the level of systemic risk. During the period under review, the Russian economy and stock market underwent a significant transformation associated with the influence of global economic and political shocks. A method for analyzing the sensitivity of the risk spread network to the most significant shocks is proposed, based on the identification of connectivity indices (volatility spillover measures). Analysis of connectivity indices allows us to make conclusions about the influence of external factors on the spillover dynamics. The results obtained allow us to estimate the share of spillover measures that can be attributed to the influence of extreme events, as well as to study the dynamics of the risk spread network transformation in the Russian stock market. The results of the study provide new information on the impact of extreme events on volatility effects for Russian sector indices.

Suggested Citation

  • Balash, V. & Faizliev, A., 2025. "Volatility spillovers in the Russian stock market: Responses to exogenous shocks," Journal of the New Economic Association, New Economic Association, vol. 67(2), pages 65-84.
    • Handle: RePEc:nea:journl:y:2025:i:67:p:65-84
    DOI: 10.31737/22212264_2025_2_65-84
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    as
    1. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Boungou, Whelsy & Yatié, Alhonita, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Economics Letters, Elsevier, vol. 215(C).
    4. Fry-McKibbin, Renée & Greenwood-Nimmo, Matthew & Hsiao, Cody Yu-Ling & Qi, Lin, 2022. "Higher-order comoment contagion among G20 equity markets during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    5. 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.
    6. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    7. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    8. Efrosiniya Karatetskaya & Valeriya Lakshina, 2019. "Volatility spillovers with spatial effects in the oil and gas market (in Russian)," Quantile, Quantile, issue 14, pages 83-95, June.
    9. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    10. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    11. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    12. Mirzat Ullah & Kazi Sohag & Shabeer Khan & Hafiz M. Sohail, 2023. "Impact of Russia–Ukraine conflict on Russian financial market: Evidence from TVP-VAR and quantile-VAR analysis," Russian Journal of Economics, ARPHA Platform, vol. 9(3), pages 284-305, October.
    13. Chaofeng Tang & Kentaka Aruga, 2021. "Effects of the 2008 Financial Crisis and COVID-19 Pandemic on the Dynamic Relationship between the Chinese and International Fossil Fuel Markets," JRFM, MDPI, vol. 14(5), pages 1-11, May.
    14. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    15. 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.
    16. 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.
    17. U, Tony Sio-Chong & Lin, Yongjia & Wang, Yizhi, 2024. "The impact of the Russia–Ukraine war on volatility spillovers," International Review of Financial Analysis, Elsevier, vol. 93(C).
    18. Balash, Vladimir & Faizliev, Alexey, 2024. "Volatility spillovers across Russian oil and gas sector. Evidence of the impact of global markets and extraordinary events," Energy Economics, Elsevier, vol. 129(C).
    19. Roy, Rudra Prosad & Sinha Roy, Saikat, 2017. "Financial contagion and volatility spillover: An exploration into Indian commodity derivative market," Economic Modelling, Elsevier, vol. 67(C), pages 368-380.
    20. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    21. Artem Aganin & Vyacheslav Manevich & Anatoly Peresetsky & Polina Pogorelova, 2023. "Comparison of Cryptocurrency and Stock Market Volatility Forecast Models," HSE Economic Journal, National Research University Higher School of Economics, vol. 27(1), pages 49-77.
    22. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    23. Xing, Xiaoyun & Xu, Zihan & Chen, Ying & Ouyang, WenPei & Deng, Jing & Pan, Huanxue, 2023. "The impact of the Russia–Ukraine conflict on the energy subsector stocks in China: A network-based approach," Finance Research Letters, Elsevier, vol. 53(C).
    24. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Sensoy, Ahmet & Kang, Sang Hoon, 2019. "Energy, precious metals, and GCC stock markets: Is there any risk spillover?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 45-70.
    25. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    26. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    27. Mohamed Beraich & Karim Amzile & Jaouad Laamire & Omar Zirari & Mohamed Amine Fadali, 2022. "Volatility Spillover Effects of the US, European and Chinese Financial Markets in the Context of the Russia–Ukraine Conflict," IJFS, MDPI, vol. 10(4), pages 1-18, October.
    28. Artem Aganin & Anatoly Peresetsky, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    29. An, Sufang & Gao, Xiangyun & An, Haizhong & An, Feng & Sun, Qingru & Liu, Siyao, 2020. "Windowed volatility spillover effects among crude oil prices," Energy, Elsevier, vol. 200(C).
    30. Aizenman, Joshua & Lindahl, Robert & Stenvall, David & Uddin, Gazi Salah, 2024. "Geopolitical shocks and commodity market dynamics: New evidence from the Russia-Ukraine conflict," European Journal of Political Economy, Elsevier, vol. 85(C).
    31. Tosun, Onur Kemal & Eshraghi, Arman, 2022. "Corporate decisions in times of war: Evidence from the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 48(C).
    32. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    33. 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).
    34. Yoon, Seong-Min & Al Mamun, Md & Uddin, Gazi Salah & Kang, Sang Hoon, 2019. "Network connectedness and net spillover between financial and commodity markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 801-818.
    35. 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.
    36. Marina Yu. Malkina, 2024. "Financial Contagion of the Commodity Markets from the Stock Market during Pandemic and New Sanctions Shocks," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(2), pages 452-475.
    37. 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.
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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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