Dragon-Kings: Mechanisms, Statistical Methods and Empirical Evidence

RC working paper No. 12-004

28 Pages Posted: 20 Dec 2012

See all articles by Didier Sornette

Didier Sornette

Risks-X, Southern University of Science and Technology (SUSTech); Swiss Finance Institute; ETH Zürich - Department of Management, Technology, and Economics (D-MTEC); Tokyo Institute of Technology

Guy Ouillon

Lithophyse

Date Written: June 5, 2012

Abstract

This introductory article presents the special Discussion and Debate volume 'From black swans to dragon-kings, is there life beyond power laws?'. We summarize and put in perspective the contributions into three main themes: (i) mechanisms for dragon-kings, (ii) detection of dragon-kings and statistical tests and (iii) empirical evidence in a large variety of natural and social systems. Overall, we are pleased to witness significant advances both in the introduction and clarification of underlying mechanisms and in the development of novel efficient tests that demonstrate clear evidence for the presence of dragon-kings in many systems. However, this positive view should be balanced by the fact that this remains a very delicate and difficult field, if only due to the scarcity of data as well as the extraordinary important implications with respect to hazard assessment, risk control and predictability.

Keywords: extreme events, earthquakes, volcanoes, landlsides, finance, social sciences, geophysics, weather, bubbles, forecast, floods, drawdowns, wealth, epileptic seizures, neurosciences, hydrodynamics, rain, turbulence, storm, hurricane, snow avalanche, rupture, failure, damage, forest fire, evolution, ext

Suggested Citation

Sornette, Didier and Ouillon, Guy, Dragon-Kings: Mechanisms, Statistical Methods and Empirical Evidence (June 5, 2012). RC working paper No. 12-004, Available at SSRN: https://ssrn.com/abstract=2191590 or http://dx.doi.org/10.2139/ssrn.2191590

Didier Sornette (Contact Author)

Risks-X, Southern University of Science and Technology (SUSTech) ( email )

1088 Xueyuan Avenue
Shenzhen, Guangdong 518055
China

Swiss Finance Institute ( email )

c/o University of Geneva
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ETH Zürich - Department of Management, Technology, and Economics (D-MTEC) ( email )

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Tokyo Institute of Technology ( email )

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Tokyo 152-8550, 52-8552
Japan

Guy Ouillon

Lithophyse ( email )