Decomposing the price-earnings ratio
Keith Anderson and
Chris Brooks
Journal of Asset Management, 2006, vol. 6, issue 6, No 7, 456-469
Abstract:
Abstract The price-earnings (P/E) ratio is a widely used measure of the expected performance of companies, and it has almost invariably been calculated as the ratio of the current share price to the previous year's earnings. The P/E of a particular stock, however, is partly determined by outside influences such as the year in which it is measured, the size of the company, and the sector in which the company operates. Examining all UK companies since 1975, the authors propose a modified P/E ratio that decomposes these influences. A regression is then used to weight the factors according to their power in predicting returns. The decomposed P/E ratio is able to double the gap in annual returns between the value and glamour deciles, and thus constitutes a useful tool for value fund managers and hedge funds.
Keywords: value premium; price-earnings ratio; trading strategy; sector P/E ratio (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jam.2240195 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
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:pal:assmgt:v:6:y:2006:i:6:d:10.1057_palgrave.jam.2240195
Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/41260
DOI: 10.1057/palgrave.jam.2240195
Access Statistics for this article
Journal of Asset Management is currently edited by Marielle de Jong and Dan diBartolomeo
More articles in Journal of Asset Management from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().