IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v59y2004i1p339-390.html
   My bibliography  Save this article

Informed Trading When Information Becomes Stale

Author

Listed:
  • Dan Bernhardt
  • Jianjun Miao

Abstract

This paper characterizes informed trade when speculators can acquire distinct signals of varying quality about an asset's value at different dates. The most reasonable characterization of private information about stocks is that while information is long-lived, new information will arrive over time, information that may be acquired by others. Hence, while a speculator may know more than others at a moment, in the future, his information will become stale, but not valueless. In an environment that allows for arbitrary correlations among signals, we characterize equilibrium outcomes including trading, prices, and profits. We provide explicit numerical characterizations for different informational environments. Copyright 2004 by The American Finance Association.

Suggested Citation

  • Dan Bernhardt & Jianjun Miao, 2004. "Informed Trading When Information Becomes Stale," Journal of Finance, American Finance Association, vol. 59(1), pages 339-390, February.
  • Handle: RePEc:bla:jfinan:v:59:y:2004:i:1:p:339-390
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode=jofi&volume=59&issue=1&year=2004&part=null
    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.

    References listed on IDEAS

    as
    1. Raymond M. Brooks, 1994. "Bid-Ask Spread Components Around Anticipated Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(3), pages 375-386, September.
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Krinsky, Itzhak & Lee, Jason, 1996. " Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    4. Brooks, Raymond M, 1994. "Bid-Ask Spread Components around Anticipated Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(3), pages 375-386, Fall.
    5. Baruch, Shmuel, 2002. "Insider trading and risk aversion," Journal of Financial Markets, Elsevier, vol. 5(4), pages 451-464, October.
    6. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. " Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    7. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(04), pages 499-518, December.
    8. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    9. Bernhardt, Dan & Hughson, Eric, 2002. "Intraday trade in dealership markets," European Economic Review, Elsevier, vol. 46(9), pages 1697-1732, October.
    10. I. Krinsky & J. Lee, 1996. "Earning Announcements and the Components of the Bid-Ask Aspread," Quantitative Studies in Economics and Population Research Reports 313, McMaster University.
    11. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    12. Foster, F Douglas & Viswanathan, S, 1996. " Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Paolo Colla & Antonio Mele, 2010. "Information Linkages and Correlated Trading," Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 203-246, January.
    2. Dan Bernhardt & P. Seiler & B. Taub, 2010. "Speculative dynamics," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 44(1), pages 1-52, July.
    3. Chanwoo Noh & Sungsub Choi, 2009. "Strategic Trading of Informed Trader with Monopoly on Short- and Long-Lived Information," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 351-365, November.
    4. Albuquerque, Rui & Miao, Jianjun, 2014. "Advance information and asset prices," Journal of Economic Theory, Elsevier, vol. 149(C), pages 236-275.
    5. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2014. "Strategic Trading in Informationally Complex Environments," NBER Working Papers 20516, National Bureau of Economic Research, Inc.
    6. Dan Bernhardt & Bart Taub, 2006. "Kyle v. Kyle (’85 v. ’89)," Annals of Finance, Springer, vol. 2(1), pages 23-38, January.
    7. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.

    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:59:y:2004:i:1:p:339-390. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/afaaaea.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.