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The flow of earnings information to the market.

机译:收益信息流向市场。

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摘要

Prior to a firm's earnings announcement, the capital market receives earnings-relevant information from a wide array of sources. As such, the collective timeliness of the flow of earnings information to the market has large implications for the price path of a firm's stock. Despite this, our understanding of the timeliness of the flow of earnings information to the market and its economic determinants is limited, in part because prior work has focused on the timeliness of specific sources of information rather than the collective whole. In this study, I create a measure of the timeliness of the total earnings information flow -- inspired by the price discovery literature -- that captures how quickly the daily consensus analyst earnings forecast approaches the actual earnings as the quarter unfolds. I document wide within-firm variation in the timeliness of the earnings information flow and show that it is associated with the direction and magnitude of the news. Specifically, I show that the earnings information flow is significantly more timely for bad news than for good news. Perhaps more importantly, I show that while bad news becomes less timely as the magnitude of the earnings news increases, good news becomes more timely. This result is in direct contrast to the commonly cited litigation explanation for timelier bad news and is more consistent with a scenario where managers face a tradeoff between current stock price implications and future reporting reputation benefits.
机译:在公司公布收益之前,资本市场会从各种各样的来源接收与收益相关的信息。因此,收益信息流向市场的集体及时性对公司股票的价格路径具有重大影响。尽管如此,我们对收益信息流向市场及其经济决定因素的及时性的理解是有限的,部分原因是先前的工作侧重于特定信息源的及时性,而不是集体整体。在本研究中,我创建了一种衡量总收益信息流及时性的方法(受价格发现文献的启发),该方法可以捕获当季度展开时,每日共识分析师的收益预测接近实际收益的速度。我记录了公司内部收入信息流及时性的巨大差异,并表明它与新闻的方向和程度有关。具体来说,我表明,对于坏消息来说,收益信息流比对好消息要及时得多。也许更重要的是,我表明,随着盈余新闻的数量级增加,坏消息变得不及时,而好消息则变得更加及时。这一结果与通常引用的诉讼解释有关的及时坏消息直接相反,并且与管理人员面临当前股票价格影响与未来报告声誉收益之间的权衡的情况更加一致。

著录项

  • 作者

    Marshall, Nathan T.;

  • 作者单位

    Indiana University.;

  • 授予单位 Indiana University.;
  • 学科 Accounting.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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