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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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 |
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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 |
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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. |
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text |
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BOEHMER, Ekkehart HUSZAR, Zsuzsa R. WANG, Yanchu ZHANG, Xiaoyan ZHANG, Xinran |
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BOEHMER, Ekkehart HUSZAR, Zsuzsa R. WANG, Yanchu ZHANG, Xiaoyan ZHANG, Xinran |
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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 |
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Can shorts predict returns? A global perspective |
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Can shorts predict returns? A global perspective |
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can shorts predict returns? a global perspective |
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Institutional Knowledge at Singapore Management University |
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2022 |
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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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