两个预测的故事:强制性和自愿性有效税率预测的分析

Novia X. Chen, Sabrina Chi, Terry Shevlin
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引用次数: 0

摘要

披露理论预测,在强制性披露中,自愿披露的可能性随着噪音水平的增加而增加。我们通过利用一种独特的设置来检验这一预测,在这种设置中,企业同时提供了对相同指标的两种预测——年有效税率(ETRs)。我们发现,当强制性ETR预测由于税收复杂性而包含更多噪音时,管理者更有可能发布自愿ETR预测,这表明当强制性披露限制了管理者传达私人信息的能力时,管理者会采取自愿披露的方式。使用分析师的ETR预测修正来评估两个ETR预测的信息量,我们发现两个预测都是增量信息。此外,分析师更看重自愿ETR预测,特别是当自愿ETR预测是非gaap为基础的,并且存在离散项目时。总的来说,我们通过检查同时发布的两个相互竞争的预测,提供了自愿和强制性披露之间的关系和信息性的证据。
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A Tale of Two Forecasts: An Analysis of Mandatory and Voluntary Effective Tax Rate Forecasts
ABSTRACT Disclosure theory predicts that the likelihood of voluntary disclosures increases with the noise level in mandatory disclosures. We test this prediction by exploiting a unique setting where firms simultaneously provide two forecasts of the same metric—annual effective tax rates (ETRs). We find that managers are more likely to issue voluntary ETR forecasts when mandatory ETR forecasts contain more noise due to tax complexity, suggesting that managers resort to voluntary disclosure when mandatory disclosure constrains their ability to convey private information. Using analysts’ ETR forecast revisions to assess the informativeness of the two ETR forecasts, we find that both forecasts are incrementally informative. In addition, analysts weight voluntary ETR forecasts more heavily, especially when voluntary ETR forecasts are non-GAAP based and when discrete items are present. Overall, we provide evidence on the relation between and the informativeness of voluntary and mandatory disclosures by examining two competing forecasts issued simultaneously.
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