The author reports a bound on the variance of price-dividend ratios and a decomposition of their variance into terms that reflect changes in dividend growth and discount rates. The specification is not restrictive. The test statistics do not require construction of ex post present values; instead, they are restrictions on means, variances, and covariances of price-dividend ratios, dividend growth, and discount rates. He considers implications for the mean price-dividend ratio, and he evaluates whether a low mean discount rate can rationalize the mean and variance of price-dividend ratios. The results do not indicate any striking rejections of present-value models. However, the bulk of the variance of price-dividend ratios must be accounted for by changing forecasts of discount rates, and discount rates must possess some unusual characteristics. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by Oxford University Press for Society for Financial Studies in its journal Review of Financial Studies.
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.
Did you know? You can create a compilation of all publications of a group of people, say alumni of a program, your students or memers of an association.