Can FinTech competition improve sell-side research quality?

Authors Jame, Markov, Wolfe
Journal The Accounting Review
Year 2022
Type Published Paper
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.
Keywords Analysts, forecast bias, FinTech, crowdsourcing
URL https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2915817
Tags Archival Empirical  |   Manager / Firm Behavior