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Strategic Trading and Learning About Liquidity


Sven Rady


University of Bonn; Centre for Economic Policy Research (CEPR); CESifo (Center for Economic Studies and Ifo Institute for Economic Research)

Harrison G. Hong


Princeton University - Department of Economics; National Bureau of Economic Research (NBER)

August 2000


Abstract:     
Many practitioners point out that the speculative profits of institutional traders are eroded by the difficulty in gauging the price impact of their trades. In this paper, we develop a model of strategic trading where speculators face such a dilemma because of incomplete information about time-varying market liquidity. Unlike the competitive market makers that they trade against, informed traders do not know whether the liquidity ("noise") trades are generated from a distribution with high or low variance. Instead, they have to learn about liquidity from past prices and trading volume. Extreme price deviations from forecasts of fundamentals based on public news or low trading volume tend to lead to revisions of beliefs in favor of the low liquidity state. This revision in beliefs implies that strategic trades and market statistics such as informational efficiency are path-dependent on past market outcomes. Our paper has a number of normative implications for practitioners concerned with gauging the potential price impact of their trades.

Number of Pages in PDF File: 41

JEL Classification: D40, D83, G12, G14

working papers series


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Date posted: March 27, 2000  

Suggested Citation

Rady, Sven and Hong, Harrison G., Strategic Trading and Learning About Liquidity (August 2000). Available at SSRN: http://ssrn.com/abstract=215342 or http://dx.doi.org/10.2139/ssrn.215342

Contact Information

Sven Rady (Contact Author)
University of Bonn ( email )
Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
CESifo (Center for Economic Studies and Ifo Institute for Economic Research)
Poschinger Str. 5
Munich, DE-81679
Germany
HOME PAGE: http://www.CESifo.de
Harrison G. Hong
Princeton University - Department of Economics ( email )
Princeton, NJ 08544-1021
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


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