Disagreement and learning: Dynamic patterns of trade

Snehal Banerjee*, Ilan Kremer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

137 Scopus citations

Abstract

The empirical evidence on investor disagreement and trading volume is difficult to reconcile in standard rational expectations models. We develop a dynamic model in which investors disagree about the interpretation of public information. We obtain a closed-form linear equilibrium that allows us to study which restrictions on the disagreement process yield empirically observed volume and return dynamics. We show that when investors have infrequent but major disagreements, there is positive autocorrelation in volume and positive correlation between volume and volatility. We also derive novel empirical predictions that relate the degree and frequency of disagreement to volume and volatility dynamics.

Original languageAmerican English
Pages (from-to)1269-1302
Number of pages34
JournalJournal of Finance
Volume65
Issue number4
DOIs
StatePublished - Aug 2010
Externally publishedYes

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