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Does Analyst Experience Affect Their Understanding of Non-Financial Information? An Analysis of the Relation between Patent Information and Analyst Forecast Errors.

机译:分析师的经历会影响他们对非财务信息的理解吗?专利信息与分析师预测误差之间的关系分析。

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摘要

This study examines whether analyst experience affects the relation between patent information and analyst forecast errors. U.S. Generally Accepted Accounting Principles require that firms expense all in-house research and development (R&D) costs. This means that even when R&D activities produce intangible assets with future economic benefits, firms cannot capitalize R&D costs as assets. Consequently, financial statements are largely deficient in the information they provide regarding the output of R&D activities. However, patent information is one type of non-financial information about R&D output that is publicly available.;Using updated patent data, I confirm the results of prior studies that find a positive association between patent citations and future firm performance. I also confirm the positive association between the absolute value of analyst forecast errors and patent citations. Next, in my main tests, I examine whether analyst experience affects the relation between patent information and analyst forecast errors (absolute value and signed). I find that analysts with more experience are not better at incorporating patent information to make more accurate earnings forecasts. Instead, they incorporate patent information to make more optimistic earnings forecasts than analysts with less experience. My findings should be of interest to standard setters in deciding whether to require firms to disclose patent information because this information should be useful to investors and analysts.
机译:这项研究检查了分析师的经验是否会影响专利信息与分析师预测错误之间的关系。美国公认会计准则要求公司支付所有内部研究与开发(R&D)费用。这意味着即使研发活动产生具有未来经济利益的无形资产,企业也无法将研发成本资本化为资产。因此,财务报表在很大程度上缺乏提供的有关R&D活动输出的信息。但是,专利信息是可公开获得的有关R&D产出的一种非财务信息。;使用更新的专利数据,我确认了先前研究的结果,这些研究发现专利引用与未来公司绩效之间存在正相关关系。我还确认了分析师预测误差的绝对值与专利引用之间的正相关关系。接下来,在主要测试中,我将检查分析师的经验是否会影响专利信息与分析师预测错误(绝对值和签名)之间的关系。我发现,拥有更多经验的分析师并不擅长合并专利信息以做出更准确的收益预测。相反,与没有经验的分析师相比,他们结合了专利信息来做出更乐观的收益预测。标准制定者在决定是否要求公司披露专利信息时应该对我的发现感兴趣,因为该信息对投资者和分析师有用。

著录项

  • 作者

    Joo, Taiwhun T.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Business Administration Accounting.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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