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Does Analyst Bias Drive Stock Return Anomalies? An Empirical Investigation

机译:分析师偏差是否会导致股票回报异常?实证研究

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We study the relation among analyst forecast bias, firm characterstics, and equity return anomalies. We propose simple corrections for the raw an- alyst forecasts and document that these corrections significantly reduce the forecast error. We aggregate individual stocks into portfolios that are com- monly studied in finance and examine analyst forecast bias at portfolio levels. We find that analysts forecasts are too high over all portfolios of interest and are particularly high for small/growth and small/loser stocks. This means on average analysts show the same optimism for these stocks as investors do, as postulated in the behavioral explanation of equity return anomalies. However, we find that we cannot use analyst optimism to construct portfo- lios that earn significantly abnormal return once other firm characteristics are controlled for.
机译:我们研究了分析师预测偏差,公司特征和股本收益异常之间的关系。我们建议对原始分析师的预测进行简单的更正,并记录这些更正显着减少了预测误差。我们将单个股票汇总到通常在金融领域进行研究的投资组合中,并检查分析师对投资组合水平的预测偏差。我们发现,分析师对所有感兴趣的投资组合的预测都过高,对于小型/增长型和小型/下跌型股票尤其如此。这意味着分析师平均对这些股票表现出与投资者相同的乐观态度,正如股权收益异常现象的行为解释所假定的那样。但是,我们发现,一旦控制了其他公司特征,我们就无法利用分析师的乐观情绪来构建获得明显异常收益的组合。

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