'Consistent' Earnings Surprises

Byoung-Hyoun Hwang, Baixiao Liu, D. Lou
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引用次数: 6

Abstract

We hypothesize that analysts with a bullish stock recommendation have an interest in not being subsequently contradicted by negative firm-specific news. As a result, these analysts report downward-biased earnings forecasts so that the company is less likely to experience a negative earnings surprise. Analogously, analysts with a bearish recommendation report upward biased earnings forecasts so that the firm is less likely to experience a strong positive earnings surprise. Consistent with this notion, we find that stock recommendations significantly and positively predict subsequent earnings surprises, as well as narrow beats versus narrow misses. Stock recommendations also predict earnings-announcement-day returns. A long-short portfolio that exploits this predictability earns abnormal returns of 125 basis points per month.
“持续的”盈利意外
我们假设,建议看涨股票的分析师不希望随后被特定公司的负面消息所反驳。因此,这些分析师报告的收益预测偏向下行,这样公司就不太可能经历负面的收益意外。类似地,持看跌建议的分析师会报告偏向上行的盈利预测,因此公司不太可能出现强劲的盈利惊喜。与这一观点相一致,我们发现股票推荐显著且积极地预测了随后的收益意外,以及狭隘的好与坏。股票推荐也能预测财报公布当日的收益。利用这种可预测性的多空投资组合每月可获得125个基点的异常回报。
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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