The Return of Return Dominance: Decomposing the Cross-section of Prices

46 Pages Posted: 21 Sep 2022 Last revised: 11 Jan 2023

See all articles by Ricardo De la O

Ricardo De la O

University of Southern California - Marshall School of Business

Xiao Han

City University London - Bayes Business School

Sean Myers

The Wharton School, University of Pennsylvania

Date Written: September 1, 2022

Abstract

Are stock valuation ratios mainly informative about future earnings growth or future returns? Using a variance decomposition, we find that over 70% of cross-sectional variation in price-earnings ratios is reflected in cross-sectional differences in future returns, while less than 30% is reflected in cross-sectional differences in future earnings growth. The lack of predictable earnings growth implies returns are much more predictable than previously estimated. Additionally, changes in predicted future returns are more important than changes in predicted future earnings growth for explaining innovations in price-earnings ratios and current realized returns. We reconcile these results with previous literature which has found a strong relation between prices and future profitability. These results are consistent with models in which the cross-section of stock valuation ratios is driven mainly by discount rates or mispricing rather than differences in future earnings growth.

Keywords: Price Variation, Cash Flow, Discount Rate, Return Predictability

JEL Classification: E44, G12

Suggested Citation

De la O, Ricardo and Han, Xiao and Myers, Sean, The Return of Return Dominance: Decomposing the Cross-section of Prices (September 1, 2022). Jacobs Levy Equity Management Center for Quantitative Financial Research Paper , USC Marshall School of Business Research Paper Sponsored by iORB, No. Forthcoming, Available at SSRN: https://ssrn.com/abstract=4206091 or http://dx.doi.org/10.2139/ssrn.4206091

Ricardo De la O

University of Southern California - Marshall School of Business ( email )

701 Exposition Blvd, HOH 803
Los Angeles, CA California 90089-1424
United States

Xiao Han (Contact Author)

City University London - Bayes Business School ( email )

United Kingdom

Sean Myers

The Wharton School, University of Pennsylvania ( email )

The Wharton School
3620 Locust Walk
Philadelphia, PA 19104
United States

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