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  • 标题:The Time Series Properties of Annual Earnings: New Evidence from an ESTAR Unit Root Test
  • 本地全文:下载
  • 作者:Andros Gregoriou ; Len Skerratt
  • 期刊名称:Quantitative and Qualitative Analysis in Social Sciences
  • 印刷版ISSN:1752-8925
  • 出版年度:2010
  • 卷号:4
  • 期号:1
  • 页码:41-57
  • 出版社:Quantitative and Qualitative Analysis in Social Sciences
  • 摘要:In this paper we examine the stationarity of earnings, within the context of a panel consisting of 479firms listed on the London Stock Exchange over the time perio d 1984-2003. Using standard ADF tests,we find that the annual earnings pro cess is stationary for only 27% of the sample firms. Motivated byFama and French (2000), we present new tests of stationarity, which explicitly allow for the possibilitythat earnings can be characterised by a non-linear mean-reverting pro cess. Once we allow for a nonlinear adjustment, the earnings process is stationary for 76% of the sample firms. A final contribution isto discuss the implications of our findings for empirical mo dels which involve earnings as an explanatoryvariable
  • 关键词:Earnings; stationarity; ESTAR
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