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The Reluctant Analyst
Authors:DAN BERNHARDT  CHI WAN  ZHIJIE XIAO
Affiliation:1. University of Illinois and University of Warwick;2. University of Massachusetts Boston;3. Boston College
Abstract:We estimate the dynamics of recommendations by financial analysts, uncovering the determinants of inertia in their recommendations. We provide overwhelming evidence that analysts revise recommendations reluctantly, introducing frictions to avoid frequent revisions. More generally, we characterize the sources underlying the infrequent revisions that analysts make. Publicly available data matter far less for explaining recommendation dynamics than do the recommendation frictions and the long‐lived information that analysts acquire but the econometrician does not observe. Estimates suggest that analysts structure recommendations strategically to generate a profitable order flow from retail traders. We provide extensive evidence that our model describes how investors believe analysts make recommendations, and that investors value private information revealed by analysts' recommendations.
Keywords:G2  G24  financial analyst recommendations  recommendation revisions  recommendation stickiness  asymmetric frictions  duration  MCMC methods
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