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Quantifying trading behavior in financial markets using Google Trends.

ABSTRACT: 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.

SUBMITTER: Preis T

PROVIDER: S-EPMC3635219 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Quantifying trading behavior in financial markets using Google Trends.

Preis Tobias T Moat Helen Susannah HS Stanley H Eugene HE

Scientific reports 20130101

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 wa ...[more]

PMID: 23619126

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