z-logo
Premium
The Reluctant Analyst
Author(s) -
BERNHARDT DAN,
WAN CHI,
XIAO ZHIJIE
Publication year - 2016
Publication title -
journal of accounting research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.767
H-Index - 141
eISSN - 1475-679X
pISSN - 0021-8456
DOI - 10.1111/1475-679x.12120
Subject(s) - order (exchange) , business , value (mathematics) , private information retrieval , accounting , finance , actuarial science , economics , financial economics , computer science , computer security , machine learning
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here