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Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction

Author

Listed:
  • Feng He
  • Baiao Liu-Chen
  • Xiangtong Meng
  • Xiong Xiong
  • Wei Zhang

Abstract

This paper considers CSI 300 Index futures and the underlying index from April 2010 to December 2018 based on high frequency data to test the price discovery function and spillover dynamics of the futures market given the change in futures market regulation in September 2015. The new regulation restricted the futures market intraday trading volume. This can be considered a natural experiment, offering us the opportunity to explore the factors that affect the price discovery function of the Chinese futures market. Information shares, the price lead-lag relationship, intraday returns and volatility spillovers are tested to reflect the price discovery function at both the long- and short-term intraday levels. We further compare the two subsamples before and after the regulation using static and dynamic approaches. The results suggest that shortly after the new regulation, the futures market was more sensitive to new information which dominated the price discovery process. However, the price discovery function of a futures market became much weaker after the regulation in the long run, due to a lack of liquidity. The regulation increased only the short-run price leading effect of the futures market and stabilised the market by limiting intraday arbitrage. We find that margin trading in the stock market significantly affects the price discovery ability of the futures market. Specifically, our results indicate that the Chinese stock index futures market was not the driving force of the market crash in 2015.

Suggested Citation

  • Feng He & Baiao Liu-Chen & Xiangtong Meng & Xiong Xiong & Wei Zhang, 2020. "Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 2067-2083, December.
  • Handle: RePEc:taf:quantf:v:20:y:2020:i:12:p:2067-2083
    DOI: 10.1080/14697688.2020.1814037
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    Citations

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    Cited by:

    1. Xingguo Luo & Yuting Lin & Xiaoli Yu & Feng He, 2021. "How trading in commodity futures option markets impacts commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1333-1347, August.
    2. Linas Jurksas & Deimante Teresiene & Rasa Kanapickiene, 2021. "Liquidity Spill-Overs in Sovereign Bond Market: An Intra-Day Study of Trade Shocks in Calm and Stressful Market Conditions," Economies, MDPI, vol. 9(1), pages 1-22, March.
    3. Wei-Xing Zhou & Yun-Shi Dai & Kiet Tuan Duong & Peng-Fei Dai, 2023. "The impact of the Russia-Ukraine conflict on the extreme risk spillovers between agricultural futures and spots," Papers 2310.16850, arXiv.org.
    4. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    5. Feng, Lingbing & Fu, Tong & Shi, Yanlin, 2022. "How does news sentiment affect the states of Japanese stock return volatility?," International Review of Financial Analysis, Elsevier, vol. 84(C).

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