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Threshold non-linear dynamics between Hang Seng stock index and futures returns

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  • Hon-Lun Chung
  • Wai-Sum Chan
  • Jonathan Batten

Abstract

We test the joint dynamics between the Hong Kong Hang Seng Index futures and the underlying cash index using a Bivariate Threshold AutoRegressive model, which is better able to capture the complex return dynamics evident in financial time series. The results are consistent with a three-regime version of the model, where the lead-lag relation between the index and futures returns is a non-linear threshold-type and the regime switching process depends on the state of the threshold variable. This interaction is symmetric rather than unidirectional, with the strength of the interaction dependent on the regime. These three regimes are also characterised by significant variation in volume, which is consistent with liquidity-induced arbitrage trading.

Suggested Citation

  • Hon-Lun Chung & Wai-Sum Chan & Jonathan Batten, 2011. "Threshold non-linear dynamics between Hang Seng stock index and futures returns," The European Journal of Finance, Taylor & Francis Journals, vol. 17(7), pages 471-486.
    • Handle: RePEc:taf:eurjfi:v:17:y:2011:i:7:p:471-486
    DOI: 10.1080/1351847X.2010.481469
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    Citations

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    Cited by:

    1. Shao, Ying-Hui & Yang, Yan-Hong & Shao, Hao-Lin & Stanley, H. Eugene, 2019. "Time-varying lead–lag structure between the crude oil spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 723-733.
    2. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.
    3. Fei Ren & Mei-Ling Cai & Sai-Ping Li & Xiong Xiong & Zhang-HangJian Chen, 2023. "A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock Index-Based Spot, Futures and Options," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 1-28, June.
    4. Chen, Zhang-HangJian & Ren, Fei & Yang, Ming-Yuan & Lu, Feng-Zhi & Li, Sai-Ping, 2023. "Dynamic lead–lag relationship between Chinese carbon emission trading and stock markets under exogenous shocks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 295-305.
    5. Gong, Chen-Chen & Ji, Shen-Dan & Su, Li-Ling & Li, Sai-Ping & Ren, Fei, 2016. "The lead–lag relationship between stock index and stock index futures: A thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 63-72.

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