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The mutual causality analysis between the stock and futures markets

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  • Yao, Can-Zhong
  • Lin, Qing-Wen

Abstract

In this paper we employ the conditional Granger causality model to estimate the information flow, and find that the improved model outperforms the Granger causality model in revealing the asymmetric correlation between stocks and futures in the Chinese market.

Suggested Citation

  • Yao, Can-Zhong & Lin, Qing-Wen, 2017. "The mutual causality analysis between the stock and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 188-204.
  • Handle: RePEc:eee:phsmap:v:478:y:2017:i:c:p:188-204
    DOI: 10.1016/j.physa.2017.02.071
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    References listed on IDEAS

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    Cited by:

    1. Liu, Xiang-dong & Pan, Fei & Cai, Wen-li & Peng, Rui, 2020. "Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    2. Letife Özdemir & Ercan Özen & Simon Grima & Yannis Thalassinos, 2019. "Causality between Spot and Future Markets of the Borsa Istanbul Index and the Dow Jones Industrial Average," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 9(3-4), pages 115-131.

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