Does stock ownership breadth measure hidden negative information or sentiment?

Does stock ownership breadth measure hidden n ...
James J. Choi, James J. Choi
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Last edited by MARC Bot
October 17, 2020 | History

Does stock ownership breadth measure hidden negative information or sentiment?

"Using holdings data on a representative sample of all Shanghai Stock Exchange investors, we show that increases in the fraction of market participants who own a stock predict low returns: highest change quintile stocks underperform lowest quintile stocks by 23 percent per year. This is consistent with ownership breadth primarily reflecting popularity among noise traders rather than the amount of negative information excluded from prices by short-sales constraints. But stocks in the top decile of wealth-weighted institutional breadth change outperform the bottom decile by 8 percent per year, suggesting that breadth measured among sophisticated institutional investors who cannot short does reflect missing negative information. The profitability of institutional trades against retail investors is almost entirely explained by their correlations with retail and institutional breadth changes. In the time series, average breadth changes negatively predict aggregate stock market returns"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: Does stock ownership breadth measure hidden negative information or sentiment?
Does stock ownership breadth measure hidden negative information or sentiment?
2010, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Title from PDF file as viewed on 3/31/2011.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 16591, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 16591.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL24836000M
LCCN
2011655827

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 17, 2020 Edited by MARC Bot import existing book
August 4, 2012 Edited by VacuumBot Updated format '[electronic resource] /' to 'Electronic resource'
July 26, 2011 Created by LC Bot Imported from Library of Congress MARC record