
Earlier this year we pointed up our old friend Didier Sornette's Financial Bubble Experiment, in which he identified four developing bubbles and forecast when they would peak, locking away his predictions in encrypted files which were, to be revealed only when the forecasted bubble peaks passed, on May 1.
Well the date has come and gone and last week Professor Sornette presented the results of the experiment at a press conference:
Professor Didier Sornette from the Department of Management, Technology and Economics (D-MTEC) at ETH Zurich is convinced that financial markets are not just random. Consequently, his Financial Crisis Observatory conducted a daring experiment to prove that you can forecast financial bubbles. Today, Professor Sornette presented the results of the experiment at a press conference.
Didier Sornette, Professor of Entrepreneurial Risks at ETH Zurich, has two hypotheses: firstly, bubbles can be diagnosed in real time before they end; secondly, the termination of these bubbles can be bracketed using probabilistic forecasts with a reliability better than chance. As a controversial debate surrounds the two hypotheses and proof was needed, Professor Sornette and his team from the Financial Crisis Observatory (FCO) launched an extraordinary experiment: they forecast that four selected assets would form a bubble in the following six months, and when this would happen. To guarantee the seriousness and integrity of the experiment, the forecasts were announced and encoded.
As yet, nobody has any reliable quantitative methods to ascertain whether the market or a particular asset is in a bubble state. One problem here is that none of the various economic theories and models provides a universal and quantifiable definition of a bubble. New, multidisciplinary approaches are therefore needed in the face of the complexity of the financial market. Consequently, Didier Sornette works with a portfolio of methods from very different fields, such as economics, physics and mathematics....
You might also be interested in:
- Didier's Webpage at ETH
- The Financial Crisis Laboratory at ETH
PhysOrg
Finance Focus
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November 8-12, 2010 - Professor Yacine Aït-Sahalia
This intensive course provides a full treatment of the state-of-the-art theory of interest-rate models and their practical applications. Participants will gain an understanding and enhance their knowledge of the fundamental mathematical tools and econometric techniques from the academic world, as well as the latest research used throughout the financial industry. Most of the models discussed and econometric techniques are implemented in spreadsheets which are reviewed at the end of each day in the form of hands-on exercises and given to the participants. The course is mathematically self-contained, but familiarity with calculus is expected. The instructor’s award-winning teaching approach is to emphasize the commonality between fixed income modelling and that relevant for other types of financial instruments and derivatives. As a result, participants will be able to apply many of the tools learned in the course beyond fixed income instruments and interest rate models to other types of derivatives. Among the course’s unique features is the integrated mix of the financial mathematics of interest rate modelling with the econometric aspects of such modelling: How to estimate or calibrate an interest rate model to the data? What feature(s) of a model is essential? Which model(s) fit best? Why?