TEDxZurich - Tobias Preis - Bubble Trouble

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Uploaded by on Oct 18, 2011

When a stock market rises unsustainably, it can create a financial bubble that sooner or later will burst. Dr. Tobias Preis explains whether concepts from physics can be used to create a law describing exactly how such crashes occur.

Tobias Preis, Physicist & Complex Systems Scientist
Dr. Tobias Preis is a scientist and founder of Artemis Capital Asset Management. He performed complex systems research at Boston University and ETH Zurich. He was awarded a Ph.D. in physics and is a member of the Gutenberg Academy. His current research focuses on quantifying and modeling financial market fluctuations. Recently, he headed a research team which provided evidence that search engine query data and stock market fluctuations are correlated.
Web: tobiaspreis.de -- Twitter: @t_preis

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

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  • Published in the Philosophical Transactions of the Royal Society A, the study which is mentioned in this TEDx talk, "Complex dynamics of our economic life on different scales: insights from search engine query data", reveals a correlation between Google searches and financial market fluctuations. Reference: T. Preis, D. Reith, H. E. Stanley, Complex dynamics of our economic life on different scales: insights from search engine query data. Phil. Trans. R. Soc. A 368, 5707-5719 (2010).

  • In this very important and impressive talk, Tobias Preis shows how massive new data sources resulting from our everyday interactions with the Internet offer a different perspective on the behavior of market participants in periods before large market movements. Through the analysis of changes in volumes of Google queries for search terms related to stock markets, he and his team were able to identify “early warning signs" of financial market moves

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