IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Rebels, Conformists, Contrarians And Momentum Traders

  • Evan Gatev
  • Stephen Ross
Registered author(s):

    We consider investing in a noisy market with incorrect beliefs about predictability. Two types of agents use subjective models to optimize their portfolios - "conformists" who happen to believe in the self-fulfilling market consensus and "rebels" who have wrong beliefs. We compare the agents' dynamic trading and their empirically observable investment performance. An agent who believes in log-normality is always a contrarian trader, who buys more shares after the price goes down, and sells shares when the price goes up. In contrast, an agent who believes in price predictability acts as a momentum trader, who buys more shares after the price goes up, for a range of subjective market mis-pricings. We show th

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm137.

    in new window

    Date of creation: 01 Apr 2000
    Date of revision: 01 Jan 2003
    Handle: RePEc:ysm:somwrk:ysm137
    Contact details of provider: Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. James M. Poterba & Lawrence H. Summers, 1987. "Mean Reversion in Stock Prices: Evidence and Implications," NBER Working Papers 2343, National Bureau of Economic Research, Inc.
    2. Wachter, Jessica A., 2002. "Portfolio and Consumption Decisions under Mean-Reverting Returns: An Exact Solution for Complete Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(01), pages 63-91, March.
    3. He, Hua & Leland, Hayne, 1993. "On Equilibrium Asset Price Processes," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 593-617.
    4. Dybvig, Philip H & Rogers, L C G, 1997. "Recovery of Preferences from Observed Wealth in a Single Realization," Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 151-74.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ysm:somwrk:ysm137. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.