Noise Trader Demand in Futures Markets
By Dwight R. Sanders, Scott H. Irwin, and Raymond M. Leuthold
The authors are Senior Commodity Analyst, The Pillsbury
Company; Professor of Agricultural Economics at The Ohio State University;
and Professor of Agricultural Economics at The University of Illinois at
Urbana-Champaign respectively.
Abstract
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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