The Impact of Star Analyst Awards on Equity Markets: A Regression Discontinuity Design

Siyu Chen, Runjing Lu
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Abstract

Using a regression discontinuity design, we study the causal impact of an influential star analyst award on market reaction and analysts’ post-award performance. We find that the award announcement leads to higher market reaction to stocks with preexisting recommendations from analysts who barely win the award than those from analysts who barely miss it, but the difference in market reaction fully reverses within 20 trading days. Evidence strongly suggests that attention trading and speculative trading over the anticipation of the overreaction are the main driving force while the signal of award winners’ ability plays little role. In addition, we find that analysts with award designations receive more resources from brokerages and perform better in earnings forecast than others in the year after the award announcement. Our findings highlight that investors may incorporate award information into their trading suboptimally and that award recognitions have long-lasting effects on sell-side research through resource reallocation.
明星分析师奖励对股票市场的影响:一个回归不连续设计
本文采用非连续性回归设计,研究了有影响力的明星分析师获奖对市场反应和分析师获奖后绩效的因果影响。我们发现,对于那些几乎没有获奖的分析师所推荐的股票,在公布获奖消息后,市场反应会比那些几乎没有获奖的分析师所推荐的股票更高,但在20个交易日内,市场反应的差异会完全逆转。有证据强烈表明,关注交易和投机交易超过预期的过度反应是主要驱动力,而获奖者能力的信号作用不大。此外,我们发现,获得奖项的分析师在奖项宣布后的一年内,从券商获得的资源更多,在盈利预测方面的表现优于其他分析师。我们的研究结果强调,投资者可能会将奖励信息纳入他们的交易中,并且奖励认可通过资源再分配对卖方研究产生长期影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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