Chances are you have never heard of Didier Sornette. Chances are that the next time you hear of him, you will be significantly poorer — unless you listen to what he says now.
Sornette is the professor of entrepreneurial risks at theSwiss Federal Institute of Technology (ETH Zurich). His research focuses of the prediction of crisis and extreme events in complex systems. His work covers earthquake physics, dynamics of success on social networks and complex system approach to medicine. However, the part that attracts market attention is what he does at the Financial Crisis Observatory, which is to test the hypothesis that financial "bubbles" can be diagnosed in real time and their termination predicted probabilistically.
In other words, he attempts to find when the next big fall in the financial markets can occur.
The term "bubble" refers to a situation where excessive future expectations lead to rise in prices. Sornette identifies speculative bubbles as arising from a confluence of two factors — factors that drive initial demand — say, new technology or perception of reduced market risk. This is followed by "amplification mechanisms", where a large increase in asset price is followed by higher demand as investors think that further increases in price will follow. This "super-exponential" acceleration in prices due to a positive feedback (or "pro-cyclicality") leads to formation and then maturation of a bubble in finite time.