IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v56y2021ics0275531920309843.html
   My bibliography  Save this article

Do sentiment trades explain investor overconfidence around analyst recommendation revisions?

Author

Listed:
  • Kim, Karam
  • Ryu, Doojin
  • Yu, Jinyoung

Abstract

This study examines irrational stock market reactions to analyst recommendation revisions depending on investor sentiment levels prior to analyst report announcements. We construct a firm-specific sentiment indicator by extending Huang et al. (2015, Review of Financial Studies, 28, pp.791–837). Analyst recommendation revisions have more pronounced effects for downgrades, which is attributable to sentiment effects. Domestic investors tend to react less to upgrades (downgrades) news when their prior beliefs are pessimistic (optimistic), implying that they are overconfident. The domestic investors drive sentiment trades, whereas foreign investors are not biased.

Suggested Citation

  • Kim, Karam & Ryu, Doojin & Yu, Jinyoung, 2021. "Do sentiment trades explain investor overconfidence around analyst recommendation revisions?," Research in International Business and Finance, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:riibaf:v:56:y:2021:i:c:s0275531920309843
    DOI: 10.1016/j.ribaf.2020.101376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531920309843
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2020.101376?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Doojin Ryu & Jinyoung Yu, 2022. "Sentiment‐dependent impact of funding liquidity shocks on futures market liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 61-76, January.
    2. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    4. Ryu, Doojin & Yang, Heejin & Yu, Jinyoung, 2022. "Insider trading and information asymmetry: Evidence from the Korea Exchange," Emerging Markets Review, Elsevier, vol. 51(PA).
    5. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    6. Yofi Syarkani & Triyono Adi Tristanto, 2022. "Examining the predictors of crypto investor decision: The relationship between overconfidence, financial literacy, and attitude," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 324-333, September.
    7. Kim, Karam & Ryu, Doojin, 2021. "Term structure of sentiment effect on investor trading behavior," Finance Research Letters, Elsevier, vol. 43(C).
    8. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2021. "Stock Market’s responses to intraday investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    9. Daehyeon PARK & Doojin RYU, 2021. "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-34, June.
    10. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    11. Huai-Chun Lo & Chia-Ying Chan, 2023. "Mean reverting in stock ratings distribution," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 1065-1097, April.

    More about this item

    Keywords

    Analyst recommendation; Behavioral finance; Domestic investors; Firm-specific sentiment; Overconfidence;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    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:eee:riibaf:v:56:y:2021:i:c:s0275531920309843. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.