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

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  • 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
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    References listed on IDEAS

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    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. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    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.
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