分析师的外国血统与企业的信息环境

K. Wang, Guqiang Luo, Li Yu
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引用次数: 2

摘要

目的本研究的目的是检验分析师的外国血统是否以及如何影响分析师的收入预测,特别是最终影响公司的总体信息环境。设计/方法论/方法本研究通过根据分析师的姓氏推断其祖籍国,实证检验了分析师祖籍国是否会影响其盈利预测误差。研究结果利用来自110多个国家的分析师外国祖先的新数据,本研究发现,与美国普通姓氏的分析师相比,外国普通姓氏的分析员往往有更高的盈利预测误差。分析师外国姓氏与盈利预测误差之间的正相关关系更可能在非裔美国分析师和其祖先国家在地理上与美国不同的分析师中观察到。相反,本研究发现,当分析师的外国祖先国家与CEO的外国祖先国家一致时,与美国普通姓氏的分析师相比,分析师的盈利预测误差较小。更重要的是,研究结果显示,外国姓氏分析师越多的公司往往表现出更高的盈利预测误差。原创性/价值综合来看,这项研究的结果与管理者和分析师之间的地理、社会和种族接近影响企业信息环境的猜测一致。因此,本研究有助于分析分析师盈利预测误差的决定因素,并为有关企业信息环境的文献增添内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysts’ foreign ancestral origins and firms’ information environment
PurposeThe purpose of this study is to examine whether and how analysts’ foreign ancestral origins would have an effect on analysts’ earning forecasts in particular and ultimately on firms’ information environment in general.Design/methodology/approachBy inferring analysts’ ancestral countries based on their surnames, this study empirically examines whether analysts’ ancestral countries affect their earnings forecast errors.FindingsUsing novel data on analysts’ foreign ancestral origins from more than 110 countries, this study finds that relative to analysts with common American surnames, analysts with common foreign surnames tend to have higher earnings forecast errors. The positive relation between analyst foreign surnames and earnings forecast errors is more likely to be observed for African-American analysts and analysts whose ancestry countries are geographically apart from the USA. In contrast, this study finds that when analysts’ foreign countries of ancestry are aligned with that of the CEOs, analysts exhibit lower earnings forecast errors relative to analysts with common American surnames. More importantly, the results show that firms followed by more analysts with foreign surnames tend to exhibit higher earnings forecast errors.Originality/valueTaken together, findings of this study are consistent with the conjecture that geographical, social and ethnical proximity between managers and analysts affect firms’ information environment. Therefore, this study contributes to the determinants of analysts’ earnings forecast errors and adds to the literature on firms’ information environment.
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