|Appears in Collections:||Accounting and Finance Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Stock Return Predictability: Using the Cyclical Component of the Price Ratio|
|Citation:||McMillan D (2019) Stock Return Predictability: Using the Cyclical Component of the Price Ratio. Research in International Business and Finance, 48, pp. 228-242. https://doi.org/10.1016/j.ribaf.2018.12.014|
|Abstract:||We examine whether the cyclical component of the log dividend-price and price-earnings ratios contain forecast power for stock returns. While the levels of these series contain slow moving information for predicting long horizon returns, they typically provide poor short horizon forecasts. Using three approaches to extract the ratios cyclical component, we conduct several in- and out-of-sample tests. In-sample estimation using the cyclical component leads to economically sensible values, as well as an improved fit compared to the ratio level results. Out-of-sample evidence reveals forecast improvement over a historical mean model, although this varies according to the metric used. The historical mean model is preferred using mean absolute and squared error measures, but the predictive models perform better using Mincer-Zarnowitz and encompassing regressions. Using economic based forecast evaluation, the predictive models are clearly preferred, with a stronger ability to predict the future direction of return movements and with higher trading returns. A further examination of the results reveal that this greater performance largely arises from a superior ability to predict future negative returns.|
|Rights:||This item has been embargoed for a period. During the embargo 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. Accepted refereed manuscript of: McMillan D (2019) Stock Return Predictability: Using the Cyclical Component of the Price Ratio. Research in International Business and Finance, 48, pp. 228-242. DOI: https://doi.org/10.1016/j.ribaf.2018.12.014 © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/|
|1-s2.0-S0275531918305051-main.pdf||Fulltext - Accepted Version||673.58 kB||Adobe PDF||Under Embargo until 2020-07-03 Request a copy|
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