Quantifying Trading Behavior in Financial Markets Using Google Trends
Top Cited Papers
Open Access
- 25 April 2013
- journal article
- research article
- Published by Springer Nature in Scientific Reports
- Vol. 3 (1) , srep01684
- https://doi.org/10.1038/srep01684
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.Keywords
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