IDEAS home Printed from https://ideas.repec.org/a/eee/corfin/v89y2024ics092911992400110x.html
   My bibliography  Save this article

Pre-IPO hype by affiliated analysts: Motives and consequences

Author

Listed:
  • Qian, Yiming
  • Shao, Xinjian
  • Liao, Jingchi

Abstract

We provide the first study of underwriter-affiliated analysts' pre-IPO research coverage and its impact on stock prices. Using proprietary data on a sample of Chinese IPOs, we document that affiliated analysts make highly overoptimistic forecasts about IPO clients. Analyst hype inflates both the offer price and the aftermarket price. Consistent with the sentiment theory, IPO investors inadequately adjust to analyst hype because the offer price is set sufficiently lower than the aftermarket price. The results hold when we instrument analyst hype with a variable that affects their hyping incentive. We also utilize a regulatory change as a quasi-experiment. Our analysis contributes to the debate about regulations on pre-IPO information provision.

Suggested Citation

  • Qian, Yiming & Shao, Xinjian & Liao, Jingchi, 2024. "Pre-IPO hype by affiliated analysts: Motives and consequences," Journal of Corporate Finance, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:corfin:v:89:y:2024:i:c:s092911992400110x
    DOI: 10.1016/j.jcorpfin.2024.102648
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092911992400110X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcorpfin.2024.102648?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.

    More about this item

    Keywords

    Pre-IPO research; Affiliated analyst; Forecast bias; Analyst hype; Quiet period rules; Underwriters; Price efficiency;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law

    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:corfin:v:89:y:2024:i:c:s092911992400110x. 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/jcorpfin .

    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.