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Quantifying Wikipedia Usage Patterns Before Stock Market Moves

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...

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Detalles Bibliográficos
Autores principales: Moat, Helen Susannah, Curme, Chester, Avakian, Adam, Kenett, Dror Y., Stanley, H. Eugene, Preis, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647164/
http://dx.doi.org/10.1038/srep01801
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author Moat, Helen Susannah
Curme, Chester
Avakian, Adam
Kenett, Dror Y.
Stanley, H. Eugene
Preis, Tobias
author_facet Moat, Helen Susannah
Curme, Chester
Avakian, Adam
Kenett, Dror Y.
Stanley, H. Eugene
Preis, Tobias
author_sort Moat, Helen Susannah
collection PubMed
description 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.
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spelling pubmed-36471642013-05-13 Quantifying Wikipedia Usage Patterns Before Stock Market Moves Moat, Helen Susannah Curme, Chester Avakian, Adam Kenett, Dror Y. Stanley, H. Eugene Preis, Tobias Sci Rep Article 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. Nature Publishing Group 2013-05-08 /pmc/articles/PMC3647164/ http://dx.doi.org/10.1038/srep01801 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Moat, Helen Susannah
Curme, Chester
Avakian, Adam
Kenett, Dror Y.
Stanley, H. Eugene
Preis, Tobias
Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title_full Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title_fullStr Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title_full_unstemmed Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title_short Quantifying Wikipedia Usage Patterns Before Stock Market Moves
title_sort quantifying wikipedia usage patterns before stock market moves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647164/
http://dx.doi.org/10.1038/srep01801
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