Abstract
A linearization of a rational expectations present value model for corporate stock prices produces a simple relation between the log dividend-price ratio and mathematical expectations of future log real dividend changes and future real discount rates. This relation can be tested using vector autoregressive methods. Three versions of the linearized model, differing in the measure of discount rates, are tested for U. S. time series 1871-1986: versions using real interest rate data, aggregate real consumption data, and return variance data. The results yield a metric to judge the relative importance of real dividend growth, measured real discount rates and unexplained factors in determining the dividend-price ratio.
Keywords
Affiliated Institutions
Related Publications
Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?
A simple model that is commonly used to interpret movements in corporate common stock. price indexes asserts that real stock prices equal the present value of rationally expecte...
Dividend Policy, Growth, and the Valuation of Shares
In the hope that it may help to overcome these obstacles to effective empirical testing, this paper will attempt to fill the existing gap in the theoretical literature on valuat...
Corporate Behavior in Adjusting to Capital Structure and Dividend Targets: An Econometric Study
ABSTRACT This study of financing decisions by U.S. corporations examines the issuance of long term debt, issuance of short term debt, maintenance of corporate liquidity, issuanc...
A Theory of the Term Structure of Interest Rates
This paper uses an intertemporal general equilibrium asset pricing model to study the term structure of interest rates. In this model, anticipations, risk aversion, investment a...
Theory of rational option pricing
AbstractThe following sections are included:IntroductionRestrictions on rational option pricingEffects of dividends and changing exercise priceRestrictions on rational put optio...
Publication Info
- Year
- 1988
- Type
- article
- Volume
- 1
- Issue
- 3
- Pages
- 195-228
- Citations
- 3893
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1093/rfs/1.3.195