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Analyst rating matters for index futures

Author

Listed:
  • Liyan Han
  • Xinbei Wei
  • Sen Yan
  • Qunzi Zhang

Abstract

Analyst recommendations convey valuable market‐wide information which implies analyst rating should generate reliable predictability for future market returns. This paper examines the predictive regressions which forecast the S&P 500 index futures return and volatility with lagged text‐based analyst rating index (TAR index). Empirical evidence shows that the TAR index generates superior in‐sample predictability. This substantial predictability remains after controlling the business cycles, macroeconomic factors, and economic conditions. Also, the TAR index outperforms the prevailing mean out‐of‐sample and generates significant economic performance. Notably, the TAR index also delivers consistent predictive gains on the volatility of index futures returns.

Suggested Citation

  • Liyan Han & Xinbei Wei & Sen Yan & Qunzi Zhang, 2022. "Analyst rating matters for index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2084-2100, November.
    • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:11:p:2084-2100
    DOI: 10.1002/fut.22341
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    References listed on IDEAS

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    Cited by:

    1. Lee, Hsiu-Chuan & Lee, Yun-Huan & Nguyen, Cuong, 2023. "Tail comovements of implied volatility indices and global index futures returns predictability," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    2. Zhen Cao & Jiancheng Shen & Xinbei Wei & Qunzi Zhang, 2023. "Anger in predicting the index futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 437-454, April.

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