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Quantifying Wikipedia usage patterns before stock market moves

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Moat, Helen Susannah, Curme, Chester, Avakian, Adam, Kenett, Dror Y., Stanley, H. Eugene and Preis, Tobias (2013) Quantifying Wikipedia usage patterns before stock market moves. Scientific Reports, 3 . 1801. doi:10.1038/srep01801 ISSN 2045-2322.

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Official URL: http://dx.doi.org/10.1038/srep01801

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Abstract

Financial crises result from a catastrophic combination of actions. Vast stock market datasets offer us a window into some of the actions that have led to these crises. Here, we investigate whether data generated through Internet usage contain traces of attempts to gather information before trading decisions were taken. We present evidence in line with the intriguing suggestion that data on changes in how often financially related Wikipedia pages were viewed may have contained early signs of stock market moves. Our results suggest that online data may allow us to gain new insight into early information gathering stages of decision making.

Item Type: Journal Article
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HG Finance
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Wikipedia, Stock exchanges -- Data processing, Financial services industry, Internet users
Journal or Publication Title: Scientific Reports
Publisher: Nature Publishing Group
ISSN: 2045-2322
Official Date: May 2013
Dates:
DateEvent
May 2013Published
Volume: 3
Article Number: 1801
DOI: 10.1038/srep01801
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 24 December 2015
Date of first compliant Open Access: 24 December 2015
Funder: United States. Department of the Interior (DOI), Deutsche Forschungsgemeinschaft (DFG), Research Councils UK (RCUK)
Grant number: D12PC00285 (DOI) ; PR 1305/1-1 (DFG) ; EP/K039830/1 (RCUK)

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