Theoretical noise trader models suggest that uninformed traders can impact market prices. However, these models' conclusions depend crucially on the assumed specification for noise trader demand. This research seeks to empirically determine the appropriate demand specification for uninformed traders. Using commercial market sentiment indices as proxies for noise trader demand, Granger causality models are estimated to examine the linear linkages between sentiment and futures returns. The models strongly suggest that noise traders are positive feedback traders (i.e., extrapolative expectations) with relatively long memories.
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Paper provided by University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics in its series ACE OFOR Reports with number
14765.
Length: Date of creation: 1996 Date of revision: Handle: RePEc:ags:uiucao:14765
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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.:
De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990.
"Noise Trader Risk in Financial Markets,"
Journal of Political Economy,
University of Chicago Press, vol. 98(4), pages 703-38, August.
[Downloadable!] (restricted)
Other versions:
Cutler, David M & Poterba, James M & Summers, Lawrence H, 1991.
"Speculative Dynamics,"
Review of Economic Studies,
Blackwell Publishing, vol. 58(3), pages 529-46, May.
[Downloadable!] (restricted)
Other versions:
David M. Cutler & James M. Poterba & Lawrence H. Summers, 1990.
"Speculative Dynamics,"
NBER Working Papers
3242, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Culter, D.M. & Poterba, J.M. & Summers, L.H., 1990.
"Speculative Dynamics,"
Working papers
544, Massachusetts Institute of Technology (MIT), Department of Economics.
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