政治不确定性是否会掩盖叙事披露?

Mohamed Mekhaimer, Marwa Soliman, Weining Zhang
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引用次数: 0

摘要

我们研究了电话会议中政治不确定性与叙述性披露复杂性之间的关系。利用公司层面的政治不确定性,我们发现政治不确定性与以 Fog 指数衡量的公司信息披露复杂性呈正相关。我们将复杂性分解为信息和模糊两个潜在组成部分,结果表明政治不确定性会显著增加模糊性,但对信息没有影响。进一步的分析表明,在政治不确定性下,复杂信息披露的动机是预期未来业绩不佳。我们还发现,在政治不确定性加剧的时期,模糊披露与盈利信息性降低、分析师预测的分散性增加以及预测修正的波动性增大有关。在计算 Fog 时,包括或不包括含有复杂政治大词的句子,这些发现都是稳健的。进一步的证据表明,在政治不确定时期,管理者倾向于使用更含糊的语气,并对分析师的问题(陈述)提供照本宣科的、更短(更长)的回答。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Political Uncertainty Obfuscate Narrative Disclosure?
We examine the relation between political uncertainty and narrative disclosure complexity in conference calls. Using firm-level political uncertainty, we find that political uncertainty is positively associated with firms’ disclosures complexity as measured by the Fog index. Decomposing complexity into two latent components—information and obfuscation—we show that political uncertainty significantly increases the obfuscation but has no impact on the information. Further analysis reveals that complex disclosure is motivated by expected poor future performance amid political uncertainty. We also show that, during periods of heightened political uncertainty, obfuscated disclosure is associated with reduced earnings informativeness, increased dispersion in analyst forecasts, and higher volatility in forecast revisions. These findings are robust to including and excluding sentences containing complex political bigrams when calculating Fog. Further evidence shows that, during periods of political uncertainty, managers tend to use a more ambiguous tone and provide scripted and shorter (longer) responses to analysts’ questions (presentations).
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