IDEAS home Printed from https://ideas.repec.org/a/bla/joares/v59y2021i3p911-958.html
   My bibliography  Save this article

Short‐Term Institutions, Analyst Recommendations, and Mispricing: The Role of Higher Order Beliefs

Author

Listed:
  • MARTIJN CREMERS
  • ANKUR PAREEK
  • ZACHARIAS SAUTNER

Abstract

We document that stocks that have optimistic (pessimistic) consensus recommendations and are currently held by many short‐term institutions exhibit large stock‐return reversals: Their large past outperformance (underperformance) is followed by large negative (positive) future alphas. The predictable return reversals originate from overreaction to past recommendation releases and the correction of these overreactions around future releases. Results are stronger when earnings news is released and at firms with higher fundamental uncertainty. Further, firms with more short‐term institutions show stronger announcement returns and price drift after recommendation changes. Our results are consistent with models of higher order beliefs where short‐term institutions coordinate trading around public signals.

Suggested Citation

  • Martijn Cremers & Ankur Pareek & Zacharias Sautner, 2021. "Short‐Term Institutions, Analyst Recommendations, and Mispricing: The Role of Higher Order Beliefs," Journal of Accounting Research, Wiley Blackwell, vol. 59(3), pages 911-958, June.
  • Handle: RePEc:bla:joares:v:59:y:2021:i:3:p:911-958
    DOI: 10.1111/1475-679X.12352
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1475-679X.12352
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1475-679X.12352?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Philippe Bacchetta & Eric Van Wincoop, 2008. "Higher Order Expectations in Asset Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 837-866, August.
    2. Bruno Biais & Peter Bossaerts, 1998. "Asset Prices and Trading Volume in a Beauty Contest," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 307-340.
    3. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    4. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    5. Péter Kondor, 2012. "The More We Know about the Fundamental, the Less We Agree on the Price," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1175-1207.
    6. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    7. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    8. Xuemin (Sterling) Yan & Zhe Zhang, 2009. "Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 893-924, February.
    9. Snehal Banerjee & Ron Kaniel & Ilan Kremer, 2009. "Price Drift as an Outcome of Differences in Higher-Order Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3707-3734, September.
    10. So, Eric C., 2013. "A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?," Journal of Financial Economics, Elsevier, vol. 108(3), pages 615-640.
    11. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    12. Gaspar, Jose-Miguel & Massa, Massimo & Matos, Pedro, 2005. "Shareholder investment horizons and the market for corporate control," Journal of Financial Economics, Elsevier, vol. 76(1), pages 135-165, April.
    13. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    14. Martijn Cremers & Ankur Pareek, 2015. "Short-Term Trading and Stock Return Anomalies: Momentum, Reversal, and Share Issuance," Review of Finance, European Finance Association, vol. 19(4), pages 1649-1701.
    15. Narasimhan Jegadeesh & Joonghyuk Kim & Susan D. Krische & Charles M. C. Lee, 2004. "Analyzing the Analysts: When Do Recommendations Add Value?," Journal of Finance, American Finance Association, vol. 59(3), pages 1083-1124, June.
    16. Ulrike Malmendier & Devin Shanthikumar, 2014. "Do Security Analysts Speak in Two Tongues?," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1287-1322.
    17. Ke, Bin & Ramalingegowda, Santhosh, 2005. "Do institutional investors exploit the post-earnings announcement drift?," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 25-53, February.
    18. Greenwood, Robin & Nagel, Stefan, 2009. "Inexperienced investors and bubbles," Journal of Financial Economics, Elsevier, vol. 93(2), pages 239-258, August.
    19. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    20. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
    21. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    22. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nerissa C. Brown & Kelsey D. Wei & Russ Wermers, 2014. "Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices," Management Science, INFORMS, vol. 60(1), pages 1-20, January.
    2. Chen, Yong & Kelly, Bryan & Wu, Wei, 2020. "Sophisticated investors and market efficiency: Evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 138(2), pages 316-341.
    3. Jorida Papakroni, 2018. "The dispersion anomaly and analyst recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 861-896, April.
    4. Lin, Mei-Chen, 2023. "Analyst coverage and the idiosyncratic skewness effect in the Taiwan stock market," International Review of Financial Analysis, Elsevier, vol. 85(C).
    5. Jeffrey Hobbs & Vivek Singh & Madhumita Chakraborty, 2021. "Institutional underperformance: Should managers listen to the sell-side before trading?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 389-410, July.
    6. Gu, Chen & Guo, Xu & Zhang, Chengping, 2022. "Analyst target price revisions and institutional herding," International Review of Financial Analysis, Elsevier, vol. 82(C).
    7. Vives, Xavier & Cespa, Giovanni, 2011. "Expectations, Liquidity, and Short-term Trading," CEPR Discussion Papers 8303, C.E.P.R. Discussion Papers.
    8. Da‐Hea Kim, 2022. "Investment horizon and option market activity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 923-958, May.
    9. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    10. Engelberg, Joseph & McLean, R. David & Pontiff, Jeffrey, 2020. "Analysts and anomalies," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    11. Mustafa O. Caglayan & Umut Celiker & Gokhan Sonaer, 2022. "Disagreement between hedge funds and other institutional investors and the cross‐section of expected stock returns," The Financial Review, Eastern Finance Association, vol. 57(3), pages 663-689, August.
    12. Doina Chichernea & Collin Gilstrap & Kershen Huang & Alex Petkevich, 2019. "Who Reacts to News?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-43, March.
    13. Du, Brian & Serrano, Alejandro & Vianna, Andre, 2021. "Short-term institutions’ information advantage and overvaluation," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    14. Ma, Yao & Yang, Baochen & Li, Jinyong & Shen, Yue, 2023. "Trend information and cross-sectional returns: The role of analysts," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    15. Ray R. Sturm, 2017. "Schwab’s equity ratings: value added or old news?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 257-275, April.
    16. Kim, Donghan & Kim, Hyun-Dong & Joe, Denis Yongmin & Oh, Ji Yeol Jimmy, 2021. "Institutional investor heterogeneity and market price dynamics: Evidence from investment horizon and portfolio concentration," Journal of Financial Markets, Elsevier, vol. 54(C).
    17. Jeffrey Hobbs & Vivek Singh, 2015. "A comparison of buy‐side and sell‐side analysts," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 42-51, January.
    18. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2013. "What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 109-129.
    19. Jared DeLisle, R. & Morscheck, J.D. & Nofsinger, John R., 2014. "Share repurchases and institutional supply," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 216-230.
    20. Florian Esterer & David Schröder, 2014. "Implied cost of capital investment strategies: evidence from international stock markets," Annals of Finance, Springer, vol. 10(2), pages 171-195, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:joares:v:59:y:2021:i:3:p:911-958. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-8456 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.