IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v12y1999i1p5-20.html
   My bibliography  Save this article

Predicting Subsequent Management Forecasting Behavior at the Date of an Initial Public Offering

Author

Listed:
  • Baginski, Stephen P
  • Hassell, John M
  • Neill, John D

Abstract

In this study, we examine the conditions and choices of firms at dates of initial public offerings (IPOs) as a basis for predicting their likelihood of management earnings forecast disclosure in post-IPO periods. Using a sample of 944 IPOs, we demonstrate that firms choosing to reduce IPO information asymmetries or signal issue quality by choosing prestigious underwriters, high quality auditors, and higher percentages of retained ownership tend to issue management forecasts in the post-IPO period. These relationships exist after controlling for IPO date measures of risk/stability, a construct that prior management forecast research has found to be a key determinant of the forecasting act. Copyright 1999 by Kluwer Academic Publishers

Suggested Citation

  • Baginski, Stephen P & Hassell, John M & Neill, John D, 1999. "Predicting Subsequent Management Forecasting Behavior at the Date of an Initial Public Offering," Review of Quantitative Finance and Accounting, Springer, vol. 12(1), pages 5-20, January.
    • Handle: RePEc:kap:rqfnac:v:12:y:1999:i:1:p:5-20
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0924-865X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Kristian D. Allee & Theodore E. Christensen & Bryan S. Graden & Kenneth J. Merkley, 2021. "The Genesis of Voluntary Disclosure: An Analysis of Firms’ First Earnings Guidance," Management Science, INFORMS, vol. 67(3), pages 1914-1938, March.
    2. Pei-Gi Shu & Yin-Hua Yeh & Shean-Bii Chiu & Fu-Sheng Ho, 2011. "The reputation effect of venture capital," Review of Quantitative Finance and Accounting, Springer, vol. 36(4), pages 533-554, May.
    3. Re-Jin Guo & Nan Zhou, 2016. "Innovation capability and post-IPO performance," Review of Quantitative Finance and Accounting, Springer, vol. 46(2), pages 335-357, February.
    4. Price, Renee, 1999. "Voluntry earnings disclosures in Uniform franchise offering circulars," Journal of Accounting and Economics, Elsevier, vol. 28(3), pages 391-423, December.

    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:kap:rqfnac:v:12:y:1999:i:1:p:5-20. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.