Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole
57 Pages Posted: 19 Aug 2010
There are 3 versions of this paper
Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole
Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole
Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole
Date Written: August 18, 2010
Abstract
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.
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Consumption, Aggregate Wealth and Expected Stock Returns
By Martin Lettau and Sydney C. Ludvigson
-
Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles
By Ravi Bansal and Amir Yaron
-
Dividend Yields and Expected Stock Returns: Alternative Procedures for Interference and Measurement
-
Resurrecting the (C)Capm: A Cross-Sectional Test When Risk Premia are Time-Varying
By Martin Lettau and Sydney C. Ludvigson
-
Stock Return Predictability: Is it There?
By Geert Bekaert and Andrew Ang
-
Stock Return Predictability: Is it There?
By Geert Bekaert and Andrew Ang
-
Resurrecting the (C)Capm: A Cross-Sectional Test When Risk Premia Wre Time-Varying
By Martin Lettau and Sydney C. Ludvigson