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Intraday Return and Volatility Spillover Mechanism from Chinese to Japanese Stock Market

Author

Listed:
  • Yusaku Nishimura

    (Institute of International Economy, University of International Business and Economics)

  • Yoshiro Tsutsui

    (Graduate School of Economics, Osaka University)

  • Kenjiro Hirayama

    (School of Economics, Kwansei Gakuin University)

Abstract

We analyze the mechanism of return and volatility spillover effects from the Chinese to the Japanese stock market. We construct a stock price index comprised of those companies that have substantial operations in China. This China-related index responds to changes in the Shanghai Composite Index more strongly than does the TOPIX (the market index of the Tokyo Stock Exchange). This result suggests that China has a large impact on Japanese stocks via China-related firms in Japan. Furthermore, we find evidence that this response has become stronger as the Chinese economy has gained importance in recent years.

Suggested Citation

  • Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2014. "Intraday Return and Volatility Spillover Mechanism from Chinese to Japanese Stock Market," Discussion Papers in Economics and Business 14-01, Osaka University, Graduate School of Economics.
    • Handle: RePEc:osk:wpaper:1401
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    Cited by:

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    2. Guo, Junjie & Li, Xuelian & Zhang, Weiran & Li, Youshu, 2024. "Monetary policy spillovers among five systemic economies: Evidence from the time and frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    3. Ahmed, Abdullahi D. & Huo, Rui, 2019. "Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement," Economic Modelling, Elsevier, vol. 79(C), pages 28-46.
    4. Li, Yanshuang & Zhuang, Xintian & Wang, Jian & Zhang, Weiping, 2020. "Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Sonali Agarwal, 2017. "Volatility in Stock Markets: A Comparison of Developed and Emerging Markets of the World," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 8(2), pages 87-92, May.
    6. Mehmet Balcilar & Festus Victor Bekun, 2020. "Spillover dynamics across price inflation and selected agricultural commodity prices," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-17, December.
    7. Liao, Jia & Qian, Qi & Xu, Xiangyun, 2018. "Whether the fluctuation of China’s financial markets have impact on global commodity prices?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1030-1040.
    8. Huang, Wei-Qiang & Wang, Dan, 2018. "A return spillover network perspective analysis of Chinese financial institutions’ systemic importance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 405-421.
    9. Yin, Kedong & Liu, Zhe & Jin, Xue, 2020. "Interindustry volatility spillover effects in China’s stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    10. Afees A. Salisu & Taofeek O. Ayinde, 2018. "Testing for spillovers in naira exchange rates: The role of electioneering & global financial crisis," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 341-348, December.
    11. A. Can Inci, 2018. "Financials sector intraday volatility characteristics in the emerging Turkish economy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 215-229, August.
    12. Inci, A. Can & Ozenbas, Deniz, 2017. "Intraday volatility and the implementation of a closing call auction at Borsa Istanbul," Emerging Markets Review, Elsevier, vol. 33(C), pages 79-89.
    13. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    14. Zhang, Weiping & Zhuang, Xintian & Lu, Yang & Wang, Jian, 2020. "Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework," International Review of Financial Analysis, Elsevier, vol. 71(C).
    15. Ma, Xiuying & Yang, Zhihua & Xu, Xiangyun & Wang, Chengqi, 2018. "The impact of Chinese financial markets on commodity currency exchange rates," Global Finance Journal, Elsevier, vol. 37(C), pages 186-198.
    16. A. Can Inci & Andres Ramirez & Hakan Saraoglu, 2022. "Anatomy of intraday volatility at the Chilean stock exchange," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 68-98, January.
    17. Huang, Wei-Qiang & Wang, Dan, 2018. "Systemic importance analysis of chinese financial institutions based on volatility spillover network," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 19-30.

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    More about this item

    Keywords

    return and volatility spillover; China related stock index; high-frequency data; intraday periodicity; long memory;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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