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Volatility spillover from the Chinese stock market to E7 and G7 stock markets

Author

Listed:
  • Berna Kirkulak Uludag
  • Muzammil Khurshid

Abstract

Purpose - The purpose of this paper is to examine volatility spillover from the Chinese stock market to E7 and G7 stock markets. Using the estimated results, the authors also analyze the optimal weights and optimal hedge ratios for the portfolios including stocks from E7 and G7 countries. Design/methodology/approach - The authors employed generalized vector autoregressive-generalized autoregressive conditional heteroskedasticity approach, developed by Ling and McAleer (2003), in order to analyze daily data on the national stock indices. Considering the late establishment of some E7 stock markets, the sampling covers the period from 1995 through 2015. Findings - The findings indicate significant volatility spillover from the Chinese stock market to E7 and G7 stock markets. In particular, the Chinese stocks highly co-move with the stocks of countries within a same geographical region. While the highest volatility spillover occurs between China and India among E7 countries, the highest volatility spillover occurs between China and Japan among G7 countries. Furthermore, the examination of optimal weights and hedge ratios suggest that investors should hold more stocks from G7 countries than E7 countries for their portfolios. Originality/value - To the best of the authors’ knowledge, this is the first study which investigates the volatility spillover in the stock markets of G7 and E7 countries. Moreover, the current study contributes particularly to the existing limited literature on the Chinese stock market. Since the Chinese stock market is not fully integrated to other markets and it is subject to intense government interventions, there is a widely accepted belief that the contagion effects from the Chinese stock market to other stock markets are not influential. This view discourages and limits the prospect studies. However, the findings of this paper refute this view and indicate significant interaction among the Chinese stock market and E7 and G7 stock markets.

Suggested Citation

  • 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.
  • Handle: RePEc:eme:jespps:jes-01-2017-0014
    DOI: 10.1108/JES-01-2017-0014
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    Citations

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    Cited by:

    1. Vuong, Giang Thi Huong & Nguyen, Manh Huu & Huynh, Anh Ngoc Quang, 2022. "Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    2. Zhong, Yi & Liu, Jiapeng, 2021. "Correlations and volatility spillovers between China and Southeast Asian stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 57-69.
    3. 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.
    4. Kazi Sohag & Rogneda Vasilyeva & Alina Urazbaeva & Valentin Voytenkov, 2022. "Stock Market Synchronization: The Role of Geopolitical Risk," JRFM, MDPI, vol. 15(5), pages 1-15, April.

    More about this item

    Keywords

    China; Volatility spillover; G7; E7; Hedge ratio; VAR-GARCH;
    All these keywords.

    JEL classification:

    • E7 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics

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