57 Pages Posted: 22 Mar 2009 Last revised: 25 Jul 2010
Date Written: July 14, 2010
We propose forecasting separately the three components of stock market returns: the dividend-price ratio, earnings growth, and price-earnings ratio growth --- the sum-of-the-parts (SOP) method. Our method exploits the different time-series persistence of the components and obtains out-of-sample R-squares (compared to the historical mean) of more than 1.3% with monthly data and 13.4% with yearly data. This compares with typically negative R-squares obtained in a similar experiment with predictive regressions. The performance of the SOP method comes mainly from the dividend-price ratio and earnings growth components and the robustness of the method is due to its low estimation error. An investor who timed the market using our method would have had a Sharpe ratio gain of 0.3.
Keywords: Equity premium, forecasting, stock market, predictive regression
JEL Classification: G1
Suggested Citation: Suggested Citation
Ferreira, Miguel A. and Santa-Clara, Pedro, Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole (July 14, 2010). AFA 2010 Atlanta Meetings Paper. Available at SSRN: https://ssrn.com/abstract=1363941 or http://dx.doi.org/10.2139/ssrn.1363941