经理人不确定性与股票收益横截面

Tengfei Zhang
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引用次数: 1

摘要

本文证明了经理人不确定性对横截面股票收益的解释力。我介绍了一种衡量管理者对未来状态的不确定信念程度的新方法:管理者不确定性(MU),定义为“不确定性”一词的计数除以文件和电话会议中“不确定性”一词的计数和“风险”一词的计数之和。我发现经理人的不确定性水平揭示了实物期权的估值信息,从而对横截面股票收益具有显著的负解释力。除了现有的基于市场的不确定性度量之外,管理者不确定性度量通过捕捉管理者报告的不确定性和投资者对不确定性的感知之间的信息摩擦,具有增量定价权。此外,根据经理人不确定性排序的短-长组合具有显著的正溢价,并且现有的因子模型无法跨越。对COVID-19不确定性的应用结果一致。
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Manager Uncertainty and the Cross-Section of Stock Returns
This paper evidences the explanatory power of managers’ uncertainty for cross-sectional stock returns. I introduce a novel measure of the degree of managers’ uncertain beliefs about future states: manager uncertainty (MU), defined as the count of the word “uncertainty” over the sum of the count of the word “uncertainty” and the count of the word “risk” in filings and conference calls. I find that manager’s level of uncertainty reveals valuation information about real options and thereby has significantly negative explanatory power for cross-sectional stock returns. Beyond existing market-based uncertainty measures, the manager uncertainty measure has incremental pricing power by capturing information frictions between managers’ reported uncertainty and investors’ perception of uncertainty. Moreover, a short-long portfolio sorted by manager uncertainty has a significantly positive premium and cannot be spanned by existing factor models. An application on COVID-19 uncertainty shows consistent results.
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