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Institutional Investment Constraints and Stock Prices

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  • Cao, Jie
  • Han, Bing
  • Wang, Qinghai

Abstract

We test the hypothesis that investment constraints in delegated portfolio management may distort demand for stocks, leading to price underreaction to news and stock return predictability. We find that institutions tend not to buy more of a stock with good news that they already overweight; they are reluctant to sell a stock with bad news that they already underweight. Stocks with good news overweighted by institutions subsequently significantly outperform stocks with bad news underweighted by institutions. The impact of institutional investment constraints sheds new light on asset pricing anomalies such as stock price momentum and post–earnings announcement drift.

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  • Cao, Jie & Han, Bing & Wang, Qinghai, 2017. "Institutional Investment Constraints and Stock Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 465-489, April.
    • Handle: RePEc:cup:jfinqa:v:52:y:2017:i:02:p:465-489_00
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    Cited by:

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    2. Boyao Wu & Difang Huang & Muzi Chen, 2024. "Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect," Papers 2404.04335, arXiv.org.
    3. 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.
    4. Fan, Yunqi & Fu, Hui, 2020. "Institutional investors, selling pressure and crash risk: Evidence from China," Emerging Markets Review, Elsevier, vol. 42(C).
    5. Peng Han & Feng Niu & Wunhong Su, 2021. "Influencing Factors of Institutional Investors Shareholding Stability," SAGE Open, , vol. 11(4), pages 21582440211, October.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.

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