Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25030
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Stock return predictability and dividend-price ratio: a nonlinear approach
Authors: McMillan, David
Wohar, Mark E
Contact Email: david.mcmillan@stir.ac.uk
Keywords: Stock returns
predictability
forecasting
ESTR model
Issue Date: Oct-2010
Citation: McMillan D & Wohar ME (2010) Stock return predictability and dividend-price ratio: a nonlinear approach, International Journal of Finance and Economics, 15 (4), pp. 351-365.
Abstract: This paper examines the forecasting ability of the dividend–price ratio for international stock market returns. Hitherto, existing research has only considered this issue in sample and in a linear framework. Hence, this paper provides the first systematic study of non-linear forecasting within the present value model context. Using an asymmetric variant of the popular exponential smooth-transition (ESTR) model we demonstrate the superior forecasting ability for the G7 markets over both a linear and symmetric ESTR model on the basis of a variety of forecast performance tests. In particular, the asymmetric-ESTR model provides improved mean forecast error metrics that are largely significant on the basis of forecast equality tests. Furthermore, in a trading rule exercise this models provides superior trading returns. As a final exercise we compare the forecasting performance of the individual models with those obtained through forecast combination. These results support the individual models on the basis of forecast error tests but suggest the combination strategy may be more profitable. These results are of importance not only for model builders but also for market participants looking to undertake active investment strategies.
DOI Link: http://dx.doi.org/10.1002/ijfe.401
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