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Trading in the Presence of Short-Lived Private Information: Evidence from Analyst Recommendation Changes

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  • Kadan, Ohad
  • Michaely, Roni
  • Moulton, Pamela C.

Abstract

We use a proprietary data set to test the implications of several asymmetric information models on how short-lived private information affects trading strategies and liquidity provision. Our identification rests on information acquisition before analyst recommendations are publicly announced. We provide the first empirical evidence supporting theoretical predictions that early-informed traders “sell the news†after “buying the rumor.†Further, we find distinct profit-taking patterns across different classes of institutions. Uninformed institutions, but not individuals, emerge as de facto liquidity providers to better-informed institutions. Placebo tests confirm that these trading patterns are unique to situations in which some investors have a short-lived informational advantage.

Suggested Citation

  • Kadan, Ohad & Michaely, Roni & Moulton, Pamela C., 2018. "Trading in the Presence of Short-Lived Private Information: Evidence from Analyst Recommendation Changes," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(4), pages 1509-1546, August.
    • Handle: RePEc:cup:jfinqa:v:53:y:2018:i:04:p:1509-1546_00
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    Cited by:

    1. Hsieh, Wen-liang Gideon & Lee, Chin-Shen, 2021. "Who reacts to what information in securities analyst reports? Direct evidence from the investor trade imbalance," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    2. Wu, Chen-Hui, 2022. "The informativeness of brokerage reports: Privately-circulated versus publicly-disseminated news," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Explaining cryptocurrency returns: A prospect theory perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    5. Jeffrey L. Callen & Ron Kaniel & Dan Segal, 2023. "Filing speed, information leakage, and price formation," Review of Accounting Studies, Springer, vol. 28(3), pages 1618-1656, September.
    6. Stephan, Andrew P. & Walther, Beverly R. & Wellman, Laura A., 2021. "Profiting from connections: Do politicians receive stock tips from brokerage houses?," Journal of Accounting and Economics, Elsevier, vol. 72(1).
    7. Aziz Simsir, Serif & Simsek, Koray D., 2022. "The market impact of private information before corporate Announcements: Evidence from Turkey," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    8. Lepori, Gabriele M., 2023. "Acute illness symptoms among investment professionals and stock market dynamics: Evidence from New York City," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 165-181.
    9. Kong, Dongmin & Lin, Chen & Liu, Shasha & Tan, Weiqiang, 2021. "Whose money is smart? Individual and institutional investors’ trades based on analyst recommendations," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 234-251.
    10. Yang, Jin Young & Segara, Reuben, 2020. "Foreign investors’ trading behaviors around merger and acquisition announcements: Evidence from Korea," Finance Research Letters, Elsevier, vol. 37(C).
    11. Swem, Nathan, 2022. "Information in financial markets: Who gets it first?," Journal of Banking & Finance, Elsevier, vol. 140(C).
    12. Li, Mingyi & Yin, Xiangkang & Zhao, Jing, 2020. "Does program trading contribute to excess comovement of stock returns?," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 257-277.

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