Using historic data from the period between January 2004 and February 2011, we detect increases in Google search volumes for keywords relating to financial markets before stock market falls
Quantifying trading behavior in financial markets using Google Trends.
Scientific reports, no. 1 (2013): 1684-1684
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...更多
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- 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.
- The authors investigate the intriguing possibility of analyzing search query data from Google Trends to provide new insights into the information gathering process that precedes the trading decisions recorded in the stock market data.
- Further studies exploiting the temporal dimension of Google Trends data have demonstrated that changes in query volumes for selected search terms mirror changes in current numbers of influenza cases and current volumes of stock market transactions.
- The authors' results suggest that, following this logic, during the period 2004 to 2011 Google Trends search query volumes for certain terms could have been used in the construction of profitable trading strategies
- Crises in financial markets affect humans worldwide
- 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
- We investigate the intriguing possibility of analyzing search query data from Google Trends to provide new insights into the information gathering process that precedes the trading decisions recorded in the stock market data
- We included terms related to the concept of stock markets, with some terms suggested by the Google Sets service, a tool which identifies semantically related keywords
- Using historic data from the period between January 2004 and February 2011, we detect increases in Google search volumes for keywords relating to financial markets before stock market falls
- Our results suggest that these warning signs in search volume data could have been exploited in the construction of profitable trading strategies
- The authors quantify financial relevance by calculating the frequency of each search term in the online edition of the Financial Times from August 2004 to June 2011, normalized by the number of Google hits for each search term.
- The authors retrieved search volume data by accessing the Google Trends website on 10 April 2011, 17 April 2011, and 24 April 2011.
- The data on the number of hits for search terms in the online edition of the Financial Times was retrieved on 7 June 2011.
- The numbers of Google hits for these terms were obtained on 8 June 2011
- The authors analyze the performance of a set of 98 search terms.
- Keyword with an obvious semantic connection to the most recent financial crisis, and overall the term which performed best in the analyses.
- To uncover the relationship between the volume of search queries for a specific term and the overall direction of trader decisions, the authors analyze closing prices p(t) of the Dow Jones Industrial Average (DJIA) on the first trading day of week t.
- The variability of Google Trends data across different dates of access is irrelevant for the results, and it can be shown that the data are consistent with reported real world events
- The authors' results are consistent with the suggestion that during the period the authors investigate, Google Trends data did reflect aspects of the current state of the economy, but may have provided some insight into future trends in the behavior of economic actors.
- Using historic data from the period between January 2004 and February 2011, the authors detect increases in Google search volumes for keywords relating to financial markets before stock market falls.
- The authors suggest that Google Trends data and stock market data may reflect two subsequent stages in the decision making process of investors.
- Trends to sell on the financial market at lower prices may be preceded by periods of concern.
- It is conceivable that such behavior may have historically been reflected by increased Google Trends search volumes for terms of higher financial relevance
- This work was partially supported by the German Research Foundation Grant PR 1305/1-1 (to T.P.)
- This work was also supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior National Business Center (DoI/NBC) contract number D12PC00285 and by the National Science Foundation (NSF), the Office of Naval Research (ONR), and the Defense Threat Reduction Agency (DTRA)
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