Earnings Announcement Return Extrapolation

62 Pages Posted: 22 Jan 2016 Last revised: 4 Sep 2020

See all articles by Aytekin Ertan

Aytekin Ertan

London Business School

Stephen A. Karolyi

Carnegie Mellon University - David A. Tepper School of Business

Peter Kelly

University of Notre Dame

Robert C. Stoumbos

Columbia University - Columbia Business School

Date Written: May 25, 2019

Abstract

We propose that extrapolative beliefs about earnings announcement (EA) returns may contribute to our understanding of EA return patterns. We construct a theoretically-motivated measure of extrapolative investors’ expectations based on a stock’s recent history of EA returns. We then show that this measure explains cross-sectional variation in stock returns and investor behavior around EAs. Stocks expected to have high EA returns according to our measure experience predictable increases in prices before EAs and predictable decreases afterwards. These patterns are economically significant: investors that buy (sell) a portfolio that is long firms with high recent EA returns and short firms with low recent EA returns in the pre-EA (post-EA) period earn daily five-factor abnormal returns of 16.1 bps (18.3 bps). Using individual investor trades data and a measure of institutional trading, we find that individual and institutional investors are more likely to purchase stocks with high recent EA returns, consistent with at least a subset of investors forming extrapolative beliefs about EA returns.

Keywords: return extrapolation, earnings announcements, expectation formation

JEL Classification: G4, G12, M41

Suggested Citation

Ertan, Aytekin and Karolyi, Stephen A. and Kelly, Peter and Stoumbos, Robert C., Earnings Announcement Return Extrapolation (May 25, 2019). Available at SSRN: https://ssrn.com/abstract=2720573 or http://dx.doi.org/10.2139/ssrn.2720573

Aytekin Ertan

London Business School ( email )

Sussex Place
Regent's Park
London, NW1 4SA
United Kingdom
442070008131 (Phone)

Stephen A. Karolyi

Carnegie Mellon University - David A. Tepper School of Business ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213-3890
United States
4122682909 (Phone)

Peter Kelly (Contact Author)

University of Notre Dame ( email )

251 Mendoza
South Bend, IN 46637
United States

Robert C. Stoumbos

Columbia University - Columbia Business School ( email )

3022 Broadway
New York, NY 10027
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
735
Abstract Views
3,929
rank
37,424
PlumX Metrics