The prediction of earnings movements using accounting data: An update and extension of Ou and Penman
Ron Bird,
Richard Gerlach and
Anthony Hall
Published Paper Series from Finance Discipline Group, UTS Business School, University of Technology, Sydney
Abstract:
The greater interest apparent in the recent academic literature in the impact of corporate earnings information on the valuation of shares has prompted an updating of the seminal work of Ou and Penman (1989) on the role that accounting information can play in predicting future movements in earnings relative to expectations. The Ou and Penman analysis has also been extended by considering two measures of expectations; by covering a more recent time period; by encompassing the UK and Australian markets in addition to the US market; and by applying a new methodology for developing the forecasting models. The study found that a model based on accounting information retains merit as a means of forecasting movements in trend-adjusted earnings, but that these forecasts no longer provide the basis for a profitable investment strategy. The models used to forecast earnings surprise gave mixed results, but nonetheless, some of the resulting investment strategies were consistently profitable.
Keywords: accounting information; earnings; analysts' forecast; investment strategy (search for similar items in EconPapers)
Pages: 16 pages
Date: 2001-01-01
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Published in: Bird, R., Gerlach, R. and Hall, A. D., 2001, "The Prediction of Earnings Movements Using Accounting Data: An Update & Extension of Ou and Penman", Journal of Asset Management, 2(2), 180-195.
Downloads: (external link)
https://link.springer.com/article/10.1057/palgrave.jam.2240043 (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: The prediction of earnings movements using accounting data: An update and extension of Ou and Penman (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:uts:ppaper:2001-2
Access Statistics for this paper
More papers in Published Paper Series from Finance Discipline Group, UTS Business School, University of Technology, Sydney PO Box 123, Broadway, NSW 2007, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Duncan Ford ().