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Institutional Investment Constraints and Stock Prices

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  • Han, Bing

    (Ohio State U)

  • Wang, Winghai

    (U of Wisconsin, Milwaukee)

Abstract

Institution investors face investment constraints that may limit their ability to fully utilize their information. Consistent with this idea, we find that institutions buy significantly less of the stocks that they already overweight, even when they have positive information about the stocks. They refrain from selling the stocks that they already underweight, even when they receive negative signals. Such demand distortion may lead to price underreaction to news and cross-sectional return predictability: Stocks with good news that institutions overweight are undervalued and subsequently have abnormal high returns; stocks with bad news that institutions underweight are overvalued and have abnormal low subsequent returns. Our tests strongly support this hypothesis. We find that stocks with higher institutional investment constraints have stronger price momentum and larger post earnings announcement drift.

Suggested Citation

  • Han, Bing & Wang, Winghai, 2005. "Institutional Investment Constraints and Stock Prices," Working Paper Series 2004-24, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    • Handle: RePEc:ecl:ohidic:2004-24
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    3. Rakowski, David & Shirley, Sara E. & Stark, Jeffrey R., 2017. "Tail-risk hedging, dividend chasing, and investment constraints: The use of exchange-traded notes by mutual funds," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 91-107.
    4. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    5. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    6. Fan, Yunqi & Fu, Hui, 2020. "Institutional investors, selling pressure and crash risk: Evidence from China," Emerging Markets Review, Elsevier, vol. 42(C).
    7. Ping‐Wen Sun & Zipeng Wen, 2023. "Stock return predictability of the cumulative abnormal returns around the earnings announcement date: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 58-86, March.
    8. Ning Wang & Shanhui Ke & Yibo Chen & Tao Yan & Andrew Lim, 2019. "Textual Sentiment of Chinese Microblog Toward the Stock Market," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 649-671, March.
    9. Rizzo, Emanuele, 2018. "Essays on corporate governance and the impact of regulation on financial markets," Other publications TiSEM b5158260-ea13-4763-b992-6, Tilburg University, School of Economics and Management.
    10. Angel Zhong, 2022. "Institutional trading in stock market anomalies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 893-930, March.
    11. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.

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