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Volatility spillover between the Russia-India-China triad and the United States: A multivariate generalized autoregressive conditional heteroscedasticity analysis

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  • Vlasova, E.

    (School of Economics, Zhejiang University, China)

  • Luo, D.

    (School of Economics, Zhejiang University, China)

Abstract

This study is concerned with the identification of the economic links and volatility spillover effects between the United States and the Russia-India-China triad from 2010 to 2019. This decade is characterized by a lack of major global financial crises in the economy, although the liberalization of the Chinese stock market and the reciprocal sanctions between Russia and developed countries, followed by the trade wars between the United States and China changed the relationship between stock markets. This study tests three hypotheses. The first hypothesis is associated with the post-2014 change of interconnection between the Chinese and the Russian and the Indian stock markets. The second hypothesis tests the fact that the Russian market has become less dependent on the US market. The third hypothesis: the trade war between the United States and China increased the volatility spillover effects between financial markets. The multivariate GARCH BEKK model was used for calculations. The research results presented herein can be used to draw conclusions about the general current situation in the world stock markets and their future development trends, as well as for a more complete understanding of the mechanisms of interaction and mutual influence of financial markets for possible diversification of the investment portfolio.

Suggested Citation

  • Vlasova, E. & Luo, D., 2022. "Volatility spillover between the Russia-India-China triad and the United States: A multivariate generalized autoregressive conditional heteroscedasticity analysis," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 111-128.
    • Handle: RePEc:nea:journl:y:2022:i:54:p:111-128
    DOI: 10.31737/2221-2264-2022-54-2-6
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    1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    2. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    3. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    4. Majdoub, Jihed & Ben Sassi, Salim, 2017. "Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes," Emerging Markets Review, Elsevier, vol. 31(C), pages 16-31.
    5. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
    6. Neumark, David & Tinsley, P A & Tosini, Suzanne, 1991. "After-Hours Stock Prices and Post-Crash Hangovers," Journal of Finance, American Finance Association, vol. 46(1), pages 159-178, March.
    7. Bhar, Ramaprasad & Nikolova, Biljana, 2009. "Return, volatility spillovers and dynamic correlation in the BRIC equity markets: An analysis using a bivariate EGARCH framework," Global Finance Journal, Elsevier, vol. 19(3), pages 203-218.
    8. Toan Luu Duc Huynh & Tobias Burggraf, 2020. "If worst comes to worst: Co-movement of global stock markets in the US-China trade war," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 21-30.
    9. Frank J. Fabozzi & Radu Tunaru & Tony Wu, 2004. "Modeling Volatility for the Chinese Equity Markets," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 79-92, May.
    10. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    11. Walid, Chkili & Chaker, Aloui & Masood, Omar & Fry, John, 2011. "Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach," Emerging Markets Review, Elsevier, vol. 12(3), pages 272-292, September.
    12. Adel Sharkasi & Heather J. Ruskin & Martin Crane, 2005. "Interrelationships Among International Stock Market Indices: Europe, Asia And The Americas," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(05), pages 603-622.
    13. Pradiptarathi Panda & M. Thiripalraju, 2018. "Return and volatility spillovers among stock markets: BRICS countries experience," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 8(2), pages 148-166.
    14. Gilenko, Evgenii & Fedorova, Elena, 2014. "Internal and external spillover effects for the BRIC countries: Multivariate GARCH-in-mean approach," Research in International Business and Finance, Elsevier, vol. 31(C), pages 32-45.
    15. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    16. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    17. Saleem, Kashif, 2009. "International linkage of the Russian market and the Russian financial crisis: A multivariate GARCH analysis," Research in International Business and Finance, Elsevier, vol. 23(3), pages 243-256, September.
    18. Bhar, Ramaprasad & Nikolova, Biljana, 2007. "Analysis of Mean and Volatility Spillovers Using BRIC Countries, Regional and World Equity Index Returns," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 22, pages 369-381.
    19. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    20. Akash Dania & D.K. Malhotra, 2013. "Returns dynamics and global integration of BRICS stock markets," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 5(3), pages 217-233.
    21. Bhuyan, Rafiqul & Robbani, Mohammad G. & Talukdar, Bakhtear & Jain, Ajeet, 2016. "Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 180-195.
    22. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    23. Berna Kirkulak Uludag & Muzammil Khurshid, 2019. "Volatility spillover from the Chinese stock market to E7 and G7 stock markets," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 90-105, January.
    24. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    25. Guglielmo Maria Caporale & Nicola Spagnolo, 2011. "Stock Market Integration between Three CEECs, Russia, and the UK," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 158-169, February.
    26. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    27. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
    28. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    Keywords

    volatility spillover effects; RIC; asymmetric BEKK model; stock market; multivariate GARCH;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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