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Quantifying trading behavior in financial markets using Google Trends

Scientific reports, 2013-04, Vol.3 (1), p.1684-1684, Article 1684 [Peer Reviewed Journal]

Copyright Nature Publishing Group Apr 2013 ;Copyright © 2013, Macmillan Publishers Limited. All rights reserved 2013 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep01684 ;PMID: 23619126

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  • Title:
    Quantifying trading behavior in financial markets using Google Trends
  • Author: Preis, Tobias ; Moat, Helen Susannah ; Stanley, H Eugene
  • Subjects: Computer Simulation ; Game Theory ; Internet ; Investments ; Models, Economic ; Search Engine ; Securities markets ; Software
  • Is Part Of: Scientific reports, 2013-04, Vol.3 (1), p.1684-1684, Article 1684
  • Description: Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as "early warning signs" of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.
  • Publisher: England: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 2045-2322
    EISSN: 2045-2322
    DOI: 10.1038/srep01684
    PMID: 23619126
  • Source: Open Access: DOAJ Directory of Open Access Journals
    Open Access: PubMed Central
    AUTh Library subscriptions: ProQuest Central
    MEDLINE
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