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Decoding Inside Information

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  • Lauren Cohen
  • Christopher Malloy
  • Lukasz Pomorski

Abstract

Using a simple empirical strategy, we decode the information in insider trades. Exploiting the fact that insiders trade for a variety of reasons, we show that there is predictable, identifiable "routine" insider trading that is not informative for the future of firms. Stripping away these routine trades, which comprise over half the entire universe of insider trades, leaves a set of information-rich "opportunistic" trades that contains all the predictive power in the insider trading universe. A portfolio strategy that focuses solely on opportunistic insider trades yields value-weight abnormal returns of 82 basis points per month, while the abnormal returns associated with routine traders are essentially zero. Further, opportunistic trades predict future news and events at a firm level, while routine trades do not.

Suggested Citation

  • Lauren Cohen & Christopher Malloy & Lukasz Pomorski, 2010. "Decoding Inside Information," NBER Working Papers 16454, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16454
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    References listed on IDEAS

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    1. Jaffe, Jeffrey F, 1974. "Special Information and Insider Trading," The Journal of Business, University of Chicago Press, vol. 47(3), pages 410-428, July.
    2. Bettis, J. C. & Coles, J. L. & Lemmon, M. L., 2000. "Corporate policies restricting trading by insiders," Journal of Financial Economics, Elsevier, vol. 57(2), pages 191-220, August.
    3. Leslie A. Jeng & Andrew Metrick & Richard Zeckhauser, 2003. "Estimating the Returns to Insider Trading: A Performance-Evaluation Perspective," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 453-471, May.
    4. Alan D. Jagolinzer, 2009. "SEC Rule 10b5-1 and Insiders' Strategic Trade," Management Science, INFORMS, vol. 55(2), pages 224-239, February.
    5. Clarke, Jonathan & Dunbar, Craig & Kahle, Kathleen M., 2001. "Long-Run Performance and Insider Trading in Completed and Canceled Seasoned Equity Offerings," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 415-430, December.
    6. John Elliott & Dale Morse & Gordon Richardson, 1984. "The Association between Insider Trading and Information Announcements," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 521-536, Winter.
    7. Rozeff, Michael S & Zaman, Mir A, 1988. "Market Efficiency and Insider Trading: New Evidence," The Journal of Business, University of Chicago Press, vol. 61(1), pages 25-44, January.
    8. Lin, Ji-Chai & Howe, John S, 1990. "Insider Trading in the OTC Market," Journal of Finance, American Finance Association, vol. 45(4), pages 1273-1284, September.
    9. Ke, Bin & Huddart, Steven & Petroni, Kathy, 2003. "What insiders know about future earnings and how they use it: Evidence from insider trades," Journal of Accounting and Economics, Elsevier, vol. 35(3), pages 315-346, August.
    10. Kahle, Kathleen M., 2000. "Insider trading and the long-run performance of new security issues," Journal of Corporate Finance, Elsevier, vol. 6(1), pages 25-53, March.
    11. Piotroski, Joseph D. & Roulstone, Darren T., 2005. "Do insider trades reflect both contrarian beliefs and superior knowledge about future cash flow realizations?," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 55-81, February.
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    Cited by:

    1. Peter Koudijs, 2013. "'Those Who Know Most': Insider Trading in 18th c. Amsterdam," NBER Working Papers 18845, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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