Can Shorts Predict Returns? A Global Perspective

A-Tier
Journal: The Review of Financial Studies
Year: 2022
Volume: 35
Issue: 5
Pages: 2428-2463

Authors (5)

Ekkehart Boehmer (not in RePEc) Zsuzsa R Huszár (not in RePEc) Yanchu Wang (not in RePEc) Xiaoyan Zhang (Tsinghua University) Xinran Zhang (Tsinghua University)

Score contribution per author:

0.804 = (α=2.01 / 5 authors) × 2.0x A-tier

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

Abstract

Using multiple short-sale measures, we examine the predictive power of short sales for future stock returns in 38 countries from July 2006 to December 2014. We find that the days-to-cover ratio and the utilization ratio measures have the most robust predictive power for future stock returns in the global capital market. Our results display significant cross-country and cross-firm differences in the predictive power of alternative short-sale measures. The predictive power of shorts is stronger in countries with nonprohibitive short sale regulations and for stocks with relatively low liquidity, high shorting fees, and low price efficiency.

Technical Details

RePEc Handle
repec:oup:rfinst:v:35:y:2022:i:5:p:2428-2463.
Journal Field
Finance
Author Count
5
Added to Database
2026-01-29