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High-frequency lead-lag relationships in the Chinese stock index futures market: tick-by-tick dynamics of calendar spreads

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  • Guanlin Li
  • Xiyan Chen
  • Yingzheng Liu

Abstract

Lead-lag relationships, integral to market dynamics, offer valuable insights into the trading behavior of high-frequency traders (HFTs) and the flow of information at a granular level. This paper investigates the lead-lag relationships between stock index futures contracts of different maturities in the Chinese financial futures market (CFFEX). Using high-frequency (tick-by-tick) data, we analyze how price movements in near-month futures contracts influence those in longer-dated contracts, such as next-month, quarterly, and semi-annual contracts. Our findings reveal a consistent pattern of price discovery, with the near-month contract leading the others by one tick, driven primarily by liquidity. Additionally, we identify a negative feedback effect of the "lead-lag spread" on the leading asset, which can predict returns of leading asset. Backtesting results demonstrate the profitability of trading based on the lead-lag spread signal, even after accounting for transaction costs. Altogether, our analysis offers valuable insights to understand and capitalize on the evolving dynamics of futures markets.

Suggested Citation

  • Guanlin Li & Xiyan Chen & Yingzheng Liu, 2025. "High-frequency lead-lag relationships in the Chinese stock index futures market: tick-by-tick dynamics of calendar spreads," Papers 2501.03171, arXiv.org.
  • Handle: RePEc:arx:papers:2501.03171
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    References listed on IDEAS

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    1. Yongli Li & Chao Liu & Tianchen Wang & Baiqing Sun, 2021. "Dynamic patterns of daily lead-lag networks in stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2055-2068, December.
    2. Owain Ap Gwilym & Mike Buckle, 2001. "The lead-lag relationship between the FTSE100 stock index and its derivative contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 11(4), pages 385-393.
    3. de Jong, Frank & Nijman, Theo, 1997. "High frequency analysis of lead-lag relationships between financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 259-277, June.
    4. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    5. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    6. Manolis G. Kavussanos & Ilias D. Visvikis & Panayotis D. Alexakis, 2008. "The Lead‐Lag Relationship Between Cash and Stock Index Futures in a New Market," European Financial Management, European Financial Management Association, vol. 14(5), pages 1007-1025, November.
    7. Didier Sornette & Wei-Xing Zhou, 2005. "Non-parametric determination of real-time lag structure between two time series: the 'optimal thermal causal path' method," Quantitative Finance, Taylor & Francis Journals, vol. 5(6), pages 577-591.
    8. Nicolas P.B. Bollen & Michael J. O'Neill & Robert E. Whaley, 2017. "Tail Wags Dog: Intraday Price Discovery in VIX Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(5), pages 431-451, May.
    9. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    10. Dror Y. Kenett & Xuqing Huang & Irena Vodenska & Shlomo Havlin & H. Eugene Stanley, 2015. "Partial correlation analysis: applications for financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 569-578, April.
    11. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    12. Kawaller, Ira G & Koch, Paul D & Koch, Timothy W, 1987. "The Temporal Price Relationship between S&P 500 Futures and the S and P 500 Index," Journal of Finance, American Finance Association, vol. 42(5), pages 1309-1329, December.
    13. Kadlec, Gregory B & Patterson, Douglas M, 1999. "A Transactions Data Analysis of Nonsynchronous Trading," The Review of Financial Studies, Society for Financial Studies, vol. 12(3), pages 609-630.
    14. Frank De Jong & Monique W. M. Donders, 1998. "Intraday Lead-Lag Relationships Between the Futures-, Options and Stock Market," Review of Finance, European Finance Association, vol. 1(3), pages 337-359.
    15. 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.
    16. Nijman, T.E. & de Jong, F.C.J.M., 1997. "High frequency analysis of lead-lag relationships between financial markets," Other publications TiSEM f4f406a0-771a-4af2-9364-6, Tilburg University, School of Economics and Management.
    17. Ma, Chaoqun & Xiao, Ru & Mi, Xianhua, 2022. "Measuring the dynamic lead–lag relationship between the cash market and stock index futures market," Finance Research Letters, Elsevier, vol. 47(PB).
    18. 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.
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