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The Role of the Options Market in the Dissemination of Private Information

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  • Timothy Cairney
  • Judith Swisher

Abstract

This paper examines the role the options market plays in the dissemination of private information. We find abnormal volume in the options market for three days prior to management forecasts, controlling for concurrent equity volume. Classifying trades as long or short, we find more informed options volume relative to equity volume (1) with relatively greater options market liquidity; (2) when equity is listed on the NYSE or AMEX; (3) for larger surprises; (4) with fewer analysts; (5) for shorter times between the forecast and period end; (6) for good news forecasts; and (7) for smaller percentage institutional holdings.

Suggested Citation

  • Timothy Cairney & Judith Swisher, 2004. "The Role of the Options Market in the Dissemination of Private Information," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(7‐8), pages 1015-1042, September.
    • Handle: RePEc:bla:jbfnac:v:31:y:2004:i:7-8:p:1015-1042
    DOI: 10.1111/j.0306-686X.2004.00565.x
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    References listed on IDEAS

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    8. Kim, Sok Tae & Lin, Ji-Chai & Slovin, Myron B., 1997. "Market Structure, Informed Trading, and Analysts' Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 507-524, December.
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    Cited by:

    1. Andrija Mihoci & Christopher Hian-Ann Ting & Meng-Jou Lu & Kainat Khowaja, 2022. "Adaptive order flow forecasting with multiplicative error models," Digital Finance, Springer, vol. 4(1), pages 89-108, March.
    2. Marc J. M. Bohmann & Vinay Patel, 2022. "Informed options trading prior to FDA announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(7-8), pages 1211-1236, July.
    3. Suresh Govindaraj & Yubin Li & Chen Zhao, 2020. "The effect of option transaction costs on informed trading in the options market around earnings announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(5-6), pages 615-644, May.
    4. Wolfgang Karl Härdle & Andrija Mihoci & Christopher Hian-Ann Ting, 2014. "Adaptive Order Flow Forecasting with Multiplicative Error Models," SFB 649 Discussion Papers SFB649DP2014-035, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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