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Investment Intelligence from Insider Trading

Author

Listed:
  • H. Nejat Seyhun

    (University of Michigan)

Abstract

The term insider trading refers to the legal stock transactions of the officers, directors, and large shareholders of a firm. Many investors believe that corporate insiders, informed about their firms' prospects, buy and sell their own firm's stock at favorable times, reaping significant profits. The key question for stock market investors is whether publicly available insider-trading information can help them to outperform a simple passive index fund. Basing his insights on an exhaustive data set that captures information on all reported insider trading in all publicly held firms over a period of twenty-one years—over one million transactions!—H. Nejat Seyhun shows how investors can use insider information to their advantage. He documents the magnitude and duration of the stock price movements following insider trading, determinants of insiders' profits, and the risks associated with imitating insider trading. He looks at the likely performance of individual firms and of the overall stock market, and compares the value of what one can learn from insider trading with commonly used measures of value such as price-earnings ratio, book-to-market ratio, and dividend yield.

Suggested Citation

  • H. Nejat Seyhun, 2000. "Investment Intelligence from Insider Trading," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262692341, April.
    • Handle: RePEc:mtp:titles:0262692341
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    Citations

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    Cited by:

    1. Bostan, Ibrahim & Mian, G. Mujtaba, 2023. "Do insiders trade on innovation?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(1).
    2. Millicent Chang & John Gould & Yuyun Huang & Sirimon Treepongkaruna & Joey Wenling Yang, 2022. "Insider trading and the algorithmic trading environment," International Review of Finance, International Review of Finance Ltd., vol. 22(4), pages 725-750, December.
    3. Wisniewski, Tomasz P. & Bohl, Martin T., 2005. "The Information Content of Registered Insider Trading Under Lax Law Enforcement," International Review of Law and Economics, Elsevier, vol. 25(2), pages 169-185, June.
    4. M. Fevzi Esen & Emrah Bilgic & Ulkem Basdas, 2019. "How to detect illegal corporate insider trading? A data mining approach for detecting suspicious insider transactions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 60-70, April.
    5. Lightfoot, Geoffrey & Wisniewski, Tomasz, 2014. "Information Asymmetry and Power in a Surveillance Society," MPRA Paper 53109, University Library of Munich, Germany.
    6. Wisniewski, Tomasz P., 2004. "Reexamination of the link between insider trading and price efficiency," Economic Systems, Elsevier, vol. 28(2), pages 209-228, June.
    7. Jonathan A. Milian, 2016. "Insider sales based on short-term earnings information," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 109-128, July.

    More about this item

    Keywords

    insider trading; stock market investors;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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