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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