构造(python库)
组分(热力学)
收益
背景(考古学)
信息不对称
计算机科学
计量经济学
混淆
语言学
会计
自然语言处理
经济
微观经济学
物理
哲学
计算机安全
古生物学
热力学
程序设计语言
生物
作者
Brian J. Bushee,Ian D. Gow,Daniel J. Taylor
标识
DOI:10.1111/1475-679x.12179
摘要
ABSTRACT Prior research generally interprets complex language in firms’ disclosures as indicative of managerial obfuscation. However, complex language can also reflect the provision of complex information; for example, informative technical disclosure. As a consequence, linguistic complexity commingles two latent components—obfuscation and information—that are related to information asymmetry in opposite directions. We develop a novel empirical approach to estimate these two latent components within the context of quarterly earnings conference calls. We validate our estimates of these two latent components by examining their relation to information asymmetry. Consistent with our predictions, we find that our estimate of the information component is negatively associated with information asymmetry while our estimate of the obfuscation component is positively associated with information asymmetry. Our findings suggest that future research on linguistic complexity can construct more powerful tests by separately examining these two latent components of linguistic complexity.
科研通智能强力驱动
Strongly Powered by AbleSci AI