Earnings Extrapolation And Predictable Stock Market Returns

83 Pages Posted: 13 Nov 2019 Last revised: 19 Feb 2026

See all articles by Hongye Guo

Hongye Guo

The University of Hong Kong - University of Hong Kong

Date Written: November 16, 2019

Abstract

The U.S. stock market’s return during the first month of a quarter correlates strongly with returns in future months, but the correlation is negative if the future month is the first month of a quarter, and positive if it isn't. These correlations offset, consistent with the well-known near-zero unconditional autocorrelation, yet they are pervasive, present across industries and countries. The pattern accords with a model in which investors extrapolate announced earnings to predict future earnings, not recognizing that earnings in the first month of a quarter are discretely less predictable than in prior months. Survey data support the model.

Keywords: Behavioral Finance, Earnings Announcements, Efficient Market Hypothesis, Extrapolative Beliefs, Stock Returns Autocorrelation

JEL Classification: G12, G14, G40

Suggested Citation

Guo, Hongye, Earnings Extrapolation And Predictable Stock Market Returns (November 16, 2019). The Review of Financial Studies, 2025[10.1093/rfs/hhaf020], Jacobs Levy Equity Management Center for Quantitative Financial Research Paper, Available at SSRN: https://ssrn.com/abstract=3480863 or http://dx.doi.org/10.1093/rfs/hhaf020

Hongye Guo (Contact Author)

The University of Hong Kong - University of Hong Kong ( email )

Pokfulam Road
Hong Kong, Hong Kong
China

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