The implications of using stock-split adjusted I/B/E/S data in empirical research

被引:157
作者
Payne, JL [1 ]
Thomas, WB [1 ]
机构
[1] Univ Oklahoma, Norman, OK 73019 USA
关键词
analysts' forecast errors; earnings; earnings changes; earnings announcement returns; dispersion; misclassification;
D O I
10.2308/accr.2003.78.4.1049
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The purpose of this study is to highlight issues of interest to researchers employing the I/B/E/S earnings and forecast data. I/B/E/S has traditionally provided per share data on a split-adjusted basis, rounded to the nearest penny. In doing so, per share amounts are comparable over time. However, because not all prior forecasts and earnings per share amounts divide precisely to a penny, adjusting for stock splits and rounding to the nearest penny can cause a loss of information. Researchers are prohibited in many cases from determining the amounts actually reported in prior years, leading to misclassified observations. We obtain actual (unadjusted) earnings and forecast data from I/B/E/S and compare results to those generated using the adjusted I/B/E/S data. We replicate prior studies and find that conclusions are affected when using the actual I/B/E/S data.
引用
收藏
页码:1049 / 1067
页数:19
相关论文
共 15 条