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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. Viorica Chirilă & Ciprian Chirilă, 2020. "Asymmetric Return and Volatility Transmission in Euro Zone and Baltic Countries Stock Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 2-11, December.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    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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