Stock return predictability despite low autocorrelation

C-Tier
Journal: Economics Letters
Year: 2010
Volume: 108
Issue: 1
Pages: 101-103

Authors (3)

Amini, Shima (not in RePEc) Hudson, Robert (University of Hull) Keasey, Kevin (not in RePEc)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper shows that short horizon stock returns can be predicted to a much greater degree by past price movements than would be anticipated given their low autocorrelation. This raises doubts over the reliability of the autocorrelation statistic as a measure of stock market predictability.

Technical Details

RePEc Handle
repec:eee:ecolet:v:108:y:2010:i:1:p:101-103
Journal Field
General
Author Count
3
Added to Database
2026-02-02