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Empirical study on the efficiency of the stock index futures market from the information and functional perspectives – empirical evidence from China

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  • Yang Qu
  • Pan Xiong

Abstract

This paper studies the effectiveness of the CSI 300 index futures markets from the perspective of information efficiency and function efficiency and examines the nonlinear dynamic characteristics of efficiency by using nonparametric methods. For information effectiveness, we find that the price of stock index futures follows a random walk. For function effectiveness, the results show that (1) the average optimal hedge ratio is 0.8702, and the average effective level reaches 86.11%. (2) The error correction mechanism is only supported by stock index futures. The error correction effect only exists in the extreme regime (only 6% of the total observed value). Most of the time (94%), both prices are subject to random walk process. There is no arbitrage trade between futures and spots. (3) Both linear and nonlinear leadership are observed in stock index futures. The nonlinear leadership is mainly reflected in stock index futures. Both leadership types are influenced by institutional changes and significant financial events and evolve over time, which indicates that stock index futures cannot play the dominant role in price discovery. In sum, we conclude that the CSI 300 stock index futures market is effective, despite the flaws in price discovery.

Suggested Citation

  • Yang Qu & Pan Xiong, 2019. "Empirical study on the efficiency of the stock index futures market from the information and functional perspectives – empirical evidence from China," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3733-3753, January.
  • Handle: RePEc:taf:reroxx:v:32:y:2019:i:1:p:3733-3753
    DOI: 10.1080/1331677X.2019.1674174
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    Cited by:

    1. Dejan Živkov & Boris Kuzman & Jonel Subić, 2020. "What Bayesian quantiles can tell about volatility transmission between the major agricultural futures?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(5), pages 215-225.

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