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Volatility Spillover Effects of the US, European and Chinese Financial Markets in the Context of the Russia–Ukraine Conflict

Author

Listed:
  • Mohamed Beraich

    (Faculty of Law, Economic and Social Sciences Agdal, Mohamed V University in Rabat, Rabat 10000, Morocco)

  • Karim Amzile

    (Faculty of Law, Economic and Social Sciences Agdal, Mohamed V University in Rabat, Rabat 10000, Morocco)

  • Jaouad Laamire

    (Faculty of Law, Economic and Social Sciences Agdal, Mohamed V University in Rabat, Rabat 10000, Morocco)

  • Omar Zirari

    (Faculty of Law, Economic and Social Sciences Agdal, Mohamed V University in Rabat, Rabat 10000, Morocco)

  • Mohamed Amine Fadali

    (Faculty of Law, Economic and Social Sciences Agdal, Mohamed V University in Rabat, Rabat 10000, Morocco)

Abstract

The present study aims to investigate the volatility spillover effects in the international financial markets before and during the Russia–Ukraine conflict. The subject of this paper is the study of the influence of the recent war between Russia and Ukraine on the transmission of volatility between the American, European and Chinese stock markets using the DY methodology. The sample period for daily data is from 1 June 2019 to 1 June 2022, excluding holidays. The volatility spillover index increased during the war period, but this increase remains insignificant compared to that recorded during the COVID-19 pandemic crisis. According to the empirical results, we also found varying levels of dependence and spillover effects between the European, American and Chinese stock indices before and during the Russia–Ukraine conflict.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijfss:v:10:y:2022:i:4:p:95-:d:940292
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    References listed on IDEAS

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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. 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.
    3. Mohamed Beraich & Salah Eddin El Main, 2022. "Volatility Spillover Effects in the Moroccan Interbank Sector before and during the COVID-19 Crisis," Risks, MDPI, vol. 10(6), pages 1-20, June.
    4. Yilmaz, Kamil, 2010. "Return and volatility spillovers among the East Asian equity markets," Journal of Asian Economics, Elsevier, vol. 21(3), pages 304-313, June.
    5. Md. Kausar Alam & Mosab I. Tabash & Mabruk Billah & Sanjeev Kumar & Suhaib Anagreh, 2022. "The Impacts of the Russia–Ukraine Invasion on Global Markets and Commodities: A Dynamic Connectedness among G7 and BRIC Markets," JRFM, MDPI, vol. 15(8), pages 1-20, August.
    6. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    7. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    8. 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.
    9. Francq, Christian & Zakoïan, Jean-Michel, 2010. "Inconsistency of the MLE and inference based on weighted LS for LARCH models," Journal of Econometrics, Elsevier, vol. 159(1), pages 151-165, November.
    10. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    11. 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.
    12. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    13. repec:hal:journl:peer-00732536 is not listed on IDEAS
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    6. Shen, Yiran & Feng, Qianqian & Sun, Xiaolei, 2024. "Stability and risk contagion in the global sovereign CDS market under Russia-Ukraine conflict," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    7. Robert Toth & Richard Kasa & Csaba Lentner, 2023. "Validating the Financial Literacy Index of Hungarian SMEs during the COVID-19 Pandemic and the Russian–Ukrainian War," Risks, MDPI, vol. 11(4), pages 1-19, March.

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