What do short sellers know?

Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24...

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Main Authors: BOEHMER, Ekkehart, JONES, Charles M., WU, Juan (Julie), ZHANG, Xiaoyan
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6698
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7697/viewcontent/ShortSellers_2020_sv.pdf
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spelling sg-smu-ink.lkcsb_research-76972021-05-11T02:42:22Z What do short sellers know? BOEHMER, Ekkehart JONES, Charles M. WU, Juan (Julie) ZHANG, Xiaoyan Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting's predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information is long term. 2020-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6698 info:doi/10.1093/rof/rfaa008 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7697/viewcontent/ShortSellers_2020_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 short selling firm fundamentals news private information return decomposition analysts 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 short selling
firm fundamentals news
private information
return decomposition
analysts
Finance and Financial Management
Portfolio and Security Analysis
spellingShingle short selling
firm fundamentals news
private information
return decomposition
analysts
Finance and Financial Management
Portfolio and Security Analysis
BOEHMER, Ekkehart
JONES, Charles M.
WU, Juan (Julie)
ZHANG, Xiaoyan
What do short sellers know?
description Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting's predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information is long term.
format text
author BOEHMER, Ekkehart
JONES, Charles M.
WU, Juan (Julie)
ZHANG, Xiaoyan
author_facet BOEHMER, Ekkehart
JONES, Charles M.
WU, Juan (Julie)
ZHANG, Xiaoyan
author_sort BOEHMER, Ekkehart
title What do short sellers know?
title_short What do short sellers know?
title_full What do short sellers know?
title_fullStr What do short sellers know?
title_full_unstemmed What do short sellers know?
title_sort what do short sellers know?
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/lkcsb_research/6698
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7697/viewcontent/ShortSellers_2020_sv.pdf
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