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The rolling causal structure between the Chinese stock index and futures

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  • Xiaojie Xu

    (North Carolina State University)

Abstract

This paper examines the causal structure between daily closing price series of the Chinese stock index and futures from April 16, 2010, the launch date of the futures, to November 14, 2014, through a rolling approach that takes into account window sizes of a half, one, one and a half, and two years. Except for several subperiods associated with the half- and one-year window, the two series are tied together through cointegration and adjust equally toward the long-run relationship. Considering different forecasting lengths, the out-of-sample Granger causality test for each window generally reveals that no series gains forecastability from another. These results shed light on the evolving causal structure between the two series, which is determined to be stable. The futures market, however, has not been fully developed to serve as a price discovery source. Increasing openness of investment channels and policy incentives to attract well-informed traders may stimulate futures market development.

Suggested Citation

  • Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
  • Handle: RePEc:kap:fmktpm:v:31:y:2017:i:4:d:10.1007_s11408-017-0299-7
    DOI: 10.1007/s11408-017-0299-7
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    Cited by:

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    More about this item

    Keywords

    CSI300; Futures; Cointegration; Causality; Rolling test;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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