Does analysts’ industrial concentration affect the quality of their forecasts?

被引:0
|
作者
Guanming He
Yun Sun
April Zhichao Li
机构
[1] University of Durham,Durham University Business School
[2] University of London,Bayes Business School, City
[3] University of Exeter Business School,undefined
关键词
Industry-specific information; Industrial concentration; Forecast accuracy; Forecast informativeness; Forecast timeliness; G11; G14; G24; M41;
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学科分类号
摘要
We examine the association between financial analysts’ industrial concentration and the quality of their earnings forecasts. We find that analysts’ forecast quality, measured by forecast accuracy, forecast informativeness, and forecast timeliness, is positively associated with analysts’ industrial concentration on firm coverage, suggesting that allocation of effort and resources to the concentrated industries helps promote the quality of earnings forecasts. We also find that the positive relation of analysts’ industrial concentration with forecast accuracy and informativeness (forecast timeliness) is more (less) pronounced for firms faced with fiercer industrial product market competition, higher firm-specific risk, and/or higher information opacity. Overall, our results highlight the importance of analysts’ industrial concentration in contributing to the quality of their earnings forecasts.
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页码:37 / 91
页数:54
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