Abstract
We examine how increased competition stemming from an innovation in financial technology influences sell-side analyst research quality. We find that firms added to Estimize, an open platform that crowdsources short-term earnings forecasts, experience a pervasive and substantial reduction in consensus bias and a limited increase in consensus accuracy relative to matched control firms. Long-term forecasts and investment recommendations remain similarly biased, alleviating the concern that the documented reduction in bias is a response to broad economic forces. At the individual analyst level, we find that bias reduction is more pronounced among close-to-management analysts, and that more biased analysts respond by reducing their coverage of Estimize firms. The collective evidence suggests that competition from Estimize improves sell-side research quality by discouraging strategic bias.
Original language | English |
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Pages (from-to) | 287-316 |
Number of pages | 30 |
Journal | Accounting Review |
Volume | 97 |
Issue number | 4 |
DOIs | |
State | Published - Jul 2022 |
Bibliographical note
Publisher Copyright:© 2022 American Accounting Association. All rights reserved.
Keywords
- FinTech
- analysts
- crowdsourcing
- forecast bias
ASJC Scopus subject areas
- Accounting
- Finance
- Economics and Econometrics