构造(python库)
度量(数据仓库)
语调(文学)
联想(心理学)
问答
竞赛(生物学)
特征(语言学)
会计
精算学
心理学
计算机科学
经济
语言学
情报检索
数据挖掘
哲学
生物
心理治疗师
程序设计语言
生态学
作者
Ian D. Gow,David F. Larcker,Anastasia A. Zakolyukina
标识
DOI:10.1111/1475-679x.12371
摘要
ABSTRACT We construct a novel measure of disclosure choice by firms. Our measure is computed using linguistic analysis of conference calls to identify whether a manager's response to an analyst question is a “non‐answer.” Using our measure, about 11% of analyst questions elicit non‐answers from managers, a rate that is stable over time and similar across industries. A useful feature of our measure is that it enables an examination of disclosure choice within a call. Analyst questions with a negative tone, greater uncertainty, greater complexity, or requests for greater detail are more likely to trigger non‐answers. We find performance‐related questions tend to be associated with non‐answers, and this association is weaker when performance news is favorable. We also find analyst questions about proprietary information are associated with non‐answers, and this association is stronger when firm competition is more intense.
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