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Journal of Accounting Research Vol. 60 No. 5 2022

The Roles of Data Providers and Analysts in the Production, Dissemination, and Pricing of Street Earnings

Khrystyna Bochkay1; Stan Markov2; Musa Subasi3; Eric H. Weisbrod4

1 University of Miami · 2 University of Texas at Dallas · 3 University of Maryland · 4 University of Kansas

open access

Abstract

In September 2009, Thomson Reuters (TR) discontinued its practice of relying on analysts to determine the treatment of unexpected charges and gains in favor of their immediate exclusion from GAAP earnings. Adopting a difference‐in‐differences approach, we show that this plausibly exogenous change in TR's methodology resulted in street earnings that are more predictive of future performance; and timelier, more accurate, and less dispersed analyst forecasts of future earnings, consistent with TR enhancing the properties of street earnings and analyst forecasts. Finally, using path analysis we show that a significant portion of TR's effect on price discovery is through its effect on analysts; and that the change in TR's treatment of unexpected items increased (decreased) the relative influence of TR (analysts) on the pricing of street earnings. We conclude that forecast data providers like TR are more than a conduit of information from analysts to investors.

DOI
10.1111/1475-679x.12457
Volume
60
Issue
5
Pages
1695-1740
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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