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21 August 2009

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A recent paper titled, Dragon-Kings, Black Swans & the Prediction of Crises, by Sornette, asks whether power laws are really the whole story & suggests that in a significant number of complex systems, extreme events are even more exaggerated than predicted by the extrapolation of the power law distributions in their tail.

What is of interest from a practical point of view is that Sornette believes that these Dragon-Kings are identifiable in real time. This means they have predictive power. In terms of financial markets Sornette looks for qualifying signatures that identify a potential end to financial bubbles. Basically these signatures are statistical properties of time series price returns that are significantly different from the rest of the population. This process provides clues in a diagnostic sense that highlights the maturation of a system towards crisis.

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