IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v47y1992i2p695-732.html
   My bibliography  Save this article

Sequential Sales, Learning, and Cascades

Author

Listed:
  • Welch, Ivo

Abstract

When IPO shares are sold sequentially, later potential investors can learn from the purchasing decisions of earlier investors. This can lead rapidly to "cascades" in which subsequent investors optimally ignore their private information and imitate earlier investors. Although rationing in this situation gives rise to a winner's curse, it is irrelevant. The model predicts that: (1) Offerings succeed or fail rapidly. (2) Demand can be so elastic that even risk-neutral issuers underprice to completely avoid failure. (3) Issues with good inside information can price their shares so high that they sometimes fail. (4) An underwriter may want to reduce the communication among investors by spreading the selling effort over a more segmented market. Copyright 1992 by American Finance Association.

Suggested Citation

  • Welch, Ivo, 1992. "Sequential Sales, Learning, and Cascades," Journal of Finance, American Finance Association, vol. 47(2), pages 695-732, June.
  • Handle: RePEc:bla:jfinan:v:47:y:1992:i:2:p:695-732
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28199206%2947%3A2%3C695%3ASSLAC%3E2.0.CO%3B2-V&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

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

    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:jfinan:v:47:y:1992:i:2:p:695-732. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afaaaea.html .

    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.