IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/2416.html
   My bibliography  Save this paper

Strategic Trading And Learning About Liquidity

Author

Listed:
  • Hong, Harrison G
  • Rady, Sven

Abstract

We develop a multi-period model of strategic trading in an asset market where traders are uncertain about market liquidity. In our model, informed traders strategically trade against competitive market makers to exploit their short-lived private information. Unlike market makers, informed traders do not know whether the liquidity ('noise') trades are generated from a distribution with high or low variance. Instead, informed traders have to learn about liquidity from past prices. We find the following. (1) Prices that deviate markedly from the forecast of terminal asset value based on public news tend to lead to revisions of informed traders' beliefs in favour of the low liquidity state. (2) This revision in beliefs results in less aggressive trading on private information by informed traders. (3) In turn, informational efficiency and trading volume are dependent on the path of prices. (4) Moreover, learning about liquidity also has interesting effects on the unconditional properties of optimal strategic trading policies.

Suggested Citation

  • Hong, Harrison G & Rady, Sven, 2000. "Strategic Trading And Learning About Liquidity," CEPR Discussion Papers 2416, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:2416
    as

    Download full text from publisher

    File URL: http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=2416
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Forster, Margaret M. & George, Thomas J., 1992. "Anonymity in securities markets," Journal of Financial Intermediation, Elsevier, vol. 2(2), pages 168-206, June.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    4. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 229-259.
    5. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1990. "Large-block transactions, the speed of response, and temporary and permanent stock-price effects," Journal of Financial Economics, Elsevier, vol. 26(1), pages 71-95, July.
    6. Seppi, Duane J, 1990. " Equilibrium Block Trading and Asymmetric Information," Journal of Finance, American Finance Association, vol. 45(1), pages 73-94, March.
    7. 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.
    8. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    9. Admati, Anat R., 1991. "The informational role of prices : A review essay," Journal of Monetary Economics, Elsevier, vol. 28(2), pages 347-361, October.
    10. Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
    11. Kerry Back & C. Henry Cao & Gregory A. Willard, 2000. "Imperfect Competition among Informed Traders," Journal of Finance, American Finance Association, vol. 55(5), pages 2117-2155, October.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    14. Dimitri Vayanos, 2001. "Strategic Trading in a Dynamic Noisy Market," Journal of Finance, American Finance Association, vol. 56(1), pages 131-171, February.
    15. Spiegel, Matthew & Subrahmanyam, Avanidhar, 2000. "Asymmetric Information and News Disclosure Rules," Journal of Financial Intermediation, Elsevier, vol. 9(4), pages 363-403, October.
    16. Chan, Louis K C & Lakonishok, Josef, 1995. " The Behavior of Stock Prices around Institutional Trades," Journal of Finance, American Finance Association, vol. 50(4), pages 1147-1174, September.
    17. Back, Kerry, 1992. "Insider Trading in Continuous Time," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 387-409.
    18. Kumar, Praveen & Seppi, Duane J, 1994. "Information and Index Arbitrage," The Journal of Business, University of Chicago Press, vol. 67(4), pages 481-509, October.
    19. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    20. 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. Nam, Jouahn & Wang, Jun & Zhang, Ge, 2008. "Strategic trading against retail investors with loss-aversion," International Review of Economics & Finance, Elsevier, vol. 17(1), pages 45-55.
    2. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.

    More about this item

    Keywords

    Bayesian Learning; Liquidity Uncertainty; Private Information; Strategic Trading;

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:cpr:ceprdp:2416. 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: (). General contact details of provider: .

    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.