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A theoretical and empirical study of computing earnings per share.

机译:计算每股收益的理论和实证研究。

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摘要

In this dissertation, I propose a theoretic foundation to compute earnings per share (EPS) for firms with both common shares and dilutive securities outstanding. I derive a new EPS measure, market EPS, which is defined as the expectation of the future earnings per share. From the view of investors, market EPS naturally captures EPS information in stock prices. It is compared to basic EPS and diluted EPS, which are suggested in the dual presentation under the current U.S. rule. The comparisons show that market EPS is below the range defined by basic EPS and diluted EPS as long as the expected future abnormal earnings is zero. This indicates a weakness behind the thinking of the current rule.;I also find that the diluted EPS by the treasury stock method overstates market EPS more than that by the if-converted method. In addition, given all conditions the same, the upward bias of diluted EPS of growth firms is smaller than that of non-growth firms.;To support the proposed theory, I conduct an empirical study using a dataset containing 3130 firm-year employee stock option plans from 1997 to 2006. The results show that diluted EPS under the rule is, on average, larger than market EPS by 1%. Furthermore, the bias is larger for firms that are heavy users of employee stock options and for firms that have higher earnings volatility.
机译:在本文中,我提出了一个理论基础来计算同时具有普通股和稀释性证券的公司的每股收益(EPS)。我得出了一个新的EPS指标,即市场EPS,它定义为对未来每股收益的预期。从投资者的角度来看,市场每股收益自然可以捕捉到股价中的每股收益信息。将其与基本每股收益和稀释后的每股收益进行了比较,这在当前美国规则的双重介绍中建议使用。比较表明,只要预期的未来异常收益为零,市场每股收益就低于基本每股收益和稀释每股收益所定义的范围。这也表明了当前规则思想的弱点。我还发现,库存库存法摊薄后的每股收益高估了市场收益,而不是if-converted方法。此外,在所有条件相同的情况下,成长型公司的摊薄后每股收益的向上偏差小于非成长型公司。;为支持所提出的理论,我使用包含3130个公司年雇员人数的数据集进行了实证研究。期权计划从1997年到2006年。结果显示,根据该规则,稀释后的EPS平均比市场EPS大1%。此外,对于大量使用员工认股权的公司和具有较高收益波动性的公司,偏差更大。

著录项

  • 作者

    Zhang, Mei.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Business Administration Accounting.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 85 p.
  • 总页数 85
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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