Can shorts predict returns? A global perspective

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 g...

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Main Authors: BOEHMER, Ekkehart, HUSZAR, Zsuzsa R., WANG, Yanchu, ZHANG, Xiaoyan, ZHANG, Xinran
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Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7006
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8005/viewcontent/ShortsPredictReturns_2021_sv.pdf
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spelling sg-smu-ink.lkcsb_research-80052022-05-31T03:56:05Z Can shorts predict returns? A global perspective BOEHMER, Ekkehart HUSZAR, Zsuzsa R. WANG, Yanchu ZHANG, Xiaoyan ZHANG, Xinran 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. 2022-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7006 info:doi/10.1093/rfs/hhab079 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8005/viewcontent/ShortsPredictReturns_2021_sv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University stock price efficiency liquidity market development short sale regulation short selling Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic stock price efficiency
liquidity
market development
short sale regulation
short selling
Finance and Financial Management
Portfolio and Security Analysis
spellingShingle stock price efficiency
liquidity
market development
short sale regulation
short selling
Finance and Financial Management
Portfolio and Security Analysis
BOEHMER, Ekkehart
HUSZAR, Zsuzsa R.
WANG, Yanchu
ZHANG, Xiaoyan
ZHANG, Xinran
Can shorts predict returns? A global perspective
description 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.
format text
author BOEHMER, Ekkehart
HUSZAR, Zsuzsa R.
WANG, Yanchu
ZHANG, Xiaoyan
ZHANG, Xinran
author_facet BOEHMER, Ekkehart
HUSZAR, Zsuzsa R.
WANG, Yanchu
ZHANG, Xiaoyan
ZHANG, Xinran
author_sort BOEHMER, Ekkehart
title Can shorts predict returns? A global perspective
title_short Can shorts predict returns? A global perspective
title_full Can shorts predict returns? A global perspective
title_fullStr Can shorts predict returns? A global perspective
title_full_unstemmed Can shorts predict returns? A global perspective
title_sort can shorts predict returns? a global perspective
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/lkcsb_research/7006
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8005/viewcontent/ShortsPredictReturns_2021_sv.pdf
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