Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22736
Appears in Collections:Accounting and Finance Journal Articles
Peer Review Status: Refereed
Title: Time-Varying Predictability for Stock Returns, Dividend Growth and Consumption Growth
Authors: McMillan, David
Contact Email: david.mcmillan@stir.ac.uk
Keywords: stock returns
predictability
time variation
state space
dividend growth
consumption growth
asset price movement
Issue Date: Oct-2015
Publisher: Wiley-Blackwell
Citation: McMillan D (2015) Time-Varying Predictability for Stock Returns, Dividend Growth and Consumption Growth, International Journal of Finance and Economics, 20 (4), pp. 362-373.
Abstract: Using a state-space model, this paper examines time variation in the predictive regressions for stock returns, dividend growth and consumption growth. Moreover, we linked time variation explicitly to movements in economic factors that can account for risk and cash flow. Results support the view that stock return predictability is enhanced when risk is high (negative growth, higher volatility and positive growth/return covariance). In contrast, dividend growth and consumption growth predictability is enhanced during economic expansions. These results are supported by subsample analysis and a vector autoregressive approach. Furthermore, these latter exercises may uncover differences in the stock return predictability relationship when viewed over different time horizons. Overall, the paper contributes to the literature by highlighting the different nature of returns predictability, which arises largely through the risk channel, and dividend and consumption growth predictability, which arise through the cash flow channel.
Type: Journal Article
URI: http://hdl.handle.net/1893/22736
DOI Link: http://dx.doi.org/10.1002/ijfe.1522
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Accounting and Finance

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