IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v15y2002i1p65-95.html
   My bibliography  Save this article

Persistence and Reversal in Herd Behavior: Theory and Application to the Decision to Go Public

Author

Listed:
  • Lee Nelson

Abstract

We model rational herd behavior when the underlying value changes over time, with payoffs that are either dependent or independent of the underlying value. We show that herding does not last forever and is not monotone in signal quality. High correlation among agents' actions does not necessarily imply herding. This suggests alternative empirical methods are needed to detect herding. The model has many applications, including the IPO decision in which payoffs are state dependent. The model implies that the decision to go public is more likely associated with herding than the decision to delay an IPO. Copyright 2002, Oxford University Press.

Suggested Citation

  • Lee Nelson, 2002. "Persistence and Reversal in Herd Behavior: Theory and Application to the Decision to Go Public," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 65-95, March.
  • Handle: RePEc:oup:rfinst:v:15:y:2002:i:1:p:65-95
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Wang, Chao-Shi & Tang, Hui-Wen & Chen, Roger C.Y., 2017. "Does IPO subscription demand affect investor herd behavior in Taiwan?," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 258-272.
    2. Richard J. Rosen & Scott B. Smart & Chad J. Zutter, 2005. "Why do firms go public? evidence from the banking industry," Working Paper Series WP-05-17, Federal Reserve Bank of Chicago.
    3. Stolpe, Michael, 2004. "Europe's entry into the venture capital business: efficiency and policy," Kiel Working Papers 1223, Kiel Institute for the World Economy (IfW Kiel).
    4. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    5. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    6. Kishishita, Daiki & Yamagishi, Atsushi, 2021. "Contagion of populist extremism," Journal of Public Economics, Elsevier, vol. 193(C).
    7. Tuvana Pastine, 2004. "Comparative Statics in a Herding Model of Investment," Econometric Society 2004 North American Summer Meetings 260, Econometric Society.
    8. Pastine, Tuvana & Pastine, Ivan, 2005. "Signal Accuracy and Informational Cascades," CEPR Discussion Papers 5219, C.E.P.R. Discussion Papers.
    9. Stolpe, Michael, 2004. "Non-market interaction in primary equity markets: evidence from France and Germany," Kiel Working Papers 1211, Kiel Institute for the World Economy (IfW Kiel).
    10. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    11. Pastine, Tuvana, 2005. "Social Learning in Continuous Time: When are Informational Cascades More Likely to be Inefficient?," CEPR Discussion Papers 5120, C.E.P.R. Discussion Papers.
    12. Ryuichi Nakagawa, 2022. "Bank herding in loan markets: Evidence from geographical data in Japan," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 72-89, March.

    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:oup:rfinst:v:15:y:2002:i:1:p:65-95. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.