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Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data

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  • Yang Hou
  • Steven Li

Abstract

Using high-frequency data, this study investigates price discovery in the newly established stock index (CSI300) futures market in China. Our empirical results reveal new evidence that the CSI300 index futures market play a dominant role in the price discovery process about one year after its inception and new information is disseminated more rapidly in the stock index futures market than the stock market. This is different from findings in the previous literature. Our results also imply that the index futures market has evolved and can be used as a price discovery vehicle. Thus the CSI300 stock index futures market plays an important role in the capital markets in China. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • Yang Hou & Steven Li, 2013. "Price Discovery in Chinese Stock Index Futures Market: New Evidence Based on Intraday Data," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(1), pages 49-70, March.
    • Handle: RePEc:kap:apfinm:v:20:y:2013:i:1:p:49-70
    DOI: 10.1007/s10690-012-9158-8
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    3. Jing Hao & Xiong Xiong & Feng He & Feng Ma, 2019. "Price Discovery in the Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 2982-2996, October.
    4. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    5. Shuxin Guo, 2021. "Do futures lead the index under stress? Evidence from the 2015 Chinese market turmoil and its aftermath," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 91-110, January.
    6. Hou, Yang & Li, Steven, 2014. "The impact of the CSI 300 stock index futures: Positive feedback trading and autocorrelation of stock returns," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 319-337.
    7. Jinyu Liu & Rui Zhong, 2018. "Equity index futures trading and stock price crash risk: Evidence from Chinese markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(11), pages 1313-1333, November.
    8. Xingguo Luo & Wenye Cai & Doojin Ryu, 2022. "Information contents of intraday SSE 50 ETF options trades," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 580-604, April.
    9. Liu, Shengnan & Yang, Linshan & Gu, Rongbao, 2023. "Can the introduction of stock index futures stabilize the volatility of the stock market? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 44-58.
    10. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    11. Chun-I Lin & Kuan-Yi Chiang & Ming-Chih Lee & Yen-Hsien Lee, 2021. "The Cross-Border Price Discovery and the Shanghai-Hong Kong Stock Connect," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-2.
    12. Suo, Yuan-Yuan & Wang, Dong-Hua & Li, Sai-Ping, 2015. "Risk estimation of CSI 300 index spot and futures in China from a new perspective," Economic Modelling, Elsevier, vol. 49(C), pages 344-353.
    13. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    14. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    15. Zhuo Li & Meiyu Tian & Guangda Ouyang & Fenghua Wen, 2021. "Relationship between investor sentiment and earnings news in high‐ and low‐sentiment periods," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2748-2765, April.
    16. Xu, Feng & Wan, Difang, 2015. "The impacts of institutional and individual investors on the price discovery in stock index futures market: Evidence from China," Finance Research Letters, Elsevier, vol. 15(C), pages 221-231.
    17. Chen, Xiangyu & Tongurai, Jittima, 2023. "Informational linkage and price discovery between China's futures and spot markets: Evidence from the US–China trade dispute," Global Finance Journal, Elsevier, vol. 55(C).
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    19. 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.
    20. Zhou, Weijie & Wang, Zhengxin & Guo, Haiming, 2016. "Modelling volatility recurrence intervals in the Chinese commodity futures market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 514-525.
    21. Huo, Rui & Ahmed, Abdullahi D., 2018. "Relationships between Chinese stock market and its index futures market: Evaluating the impact of QFII scheme," Research in International Business and Finance, Elsevier, vol. 44(C), pages 135-152.
    22. Xiaojie Xu, 2018. "Intraday price information flows between the CSI300 and futures market: an application of wavelet analysis," Empirical Economics, Springer, vol. 54(3), pages 1267-1295, May.
    23. Xiaojie Xu & Yun Zhang, 2023. "Neural network predictions of the high-frequency CSI300 first distant futures trading volume," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 191-207, June.

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