The predictive ability of relative efficiency for future earnings: an application using data envelopment analysis to Spanish SMEs
AbstractResearch on earnings prediction has documented that the transitory component of current earnings undermines its predictive ability about future earnings. The implication of this finding is that a measure that better captures the underlying persistent component of earnings may prove very useful in predicting future earnings when used along with current earnings. Our study, based on a large sample of 1939 Spanish Small and medium Enterprises (SMEs), investigates whether an alternative measure of performance ignored in previous research on earnings forecasting-i.e. relative efficiency-has predictive ability over and above current earnings and book value of equity. Relative efficiency captures the inherent ability of a firm-as compared to other similar firms-to make the most productive use of available resources and is measured using Data Envelopment Analysis (DEA) nonparametric technique. Our findings highlight that our DEA-based efficiency measure has an incremental predictive ability over and above current earnings and book value of equity for predicting future earnings. Moreover, we have further validated the models in a holdout sample and our results evidence the highest forecast accuracy of the model that includes our efficiency measure as an additional predictor to current earnings and book value of equity.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 42 (2010)
Issue (Month): 21 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.