Can FinTech Competition Improve Sell-Side Research Quality?

被引:13
作者
Jame, Russell [1 ]
Markov, Stanimir [2 ]
Wolfe, Michael C. [3 ]
机构
[1] Univ Kentucky, Gatton Coll Business & Econ, Von Allman Sch Accountancy, Lexington, KY 40506 USA
[2] Univ Texas Dallas, Naveen Jindal Sch Management, Dept Accounting, Richardson, TX 75083 USA
[3] Oklahoma State Univ, Spears Sch Business, Sch Accounting, Stillwater, OK 74078 USA
关键词
analysts; forecast bias; FinTech; crowdsourcing; CONFLICTS-OF-INTEREST; ANALYSTS FORECASTS; CAREER CONCERNS; MARKET; REPUTATION; MANAGEMENT; ACCURACY; INFORMATIVENESS; RECOMMENDATIONS; PERFORMANCE;
D O I
10.2308/TAR-2019-0266
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:287 / 316
页数:30
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