Dragon-Kings
Newspaper Coverage
external page Atomkraft-Risiko: Wann fliegt das nächste AKW in die Luft?, von Maximilian Schäfer, Spiegel Online, 6.7.2016
external page Using Chaos Theory to Predict and Prevent Catastrophic "Dragon-King" Events, by Adam Mann, Wired, October 29, 2013
external page Physicists slay "dragon kings", by Hamish Johnston, Physicsworld. com, October 29, 2013
external page The dragon kings of Didier Sornette and the skill of predicting financial bubble burst, by Anand Tandon, THE ECONOMICTIMES OF INDIA, August 2, 2013
Download Die Physik des Drachenkönigs (PDF, 131 KB), in DER SPIEGEL, 18. Januar 2010
Download Der Drachentöter (PDF, 94 KB), in NZZ Neue Zürcher Zeitung, 14. Dezember, 2009
Download In search of the black swans in research and discoveries (PDF, 133 KB), Physicworld.com, 2009
Interviews
Black Swans or Dragon-Kings: N.N. Taleb (NY University), D. Sornette (ETH Zurich) and D. Riordan (CEO Zurich Global Corporate) debate the origin and appropriate response to systemic risks and financial fragility, Zurich meets New York Festival, New York City, 22 May 2014
external page link to video
Comments of the debate:
external page http://www.fuw.ch/article/taleb-sornette/
Didier Sornette: Black Swans vs. Dragon KingsJames J. Puplava CFP with Didier Sornette
Recording available for listening at:
Summary preview of the interview at:
Jim welcomes Professor Didier Sornette, an expert on complex systems. Sornette is the Chair of Entrepreneurial Risk at the Swiss Federal Institute of Technology in Zurich. Professor Sornette is also the author of "Why Stock Markets Crash: Critical Events in Complex Financial Systems". While financial crashes, recessions, earthquakes and other extreme events appear chaotic, Sornette’s research is focused on finding out whether they are, in fact, predictable. Jim and Didier cover a number of aspects of Sornette’s research, including his belief that globalization has added to financial system risk, and that financial "firewalls" no longer exist today. He also goes on to distinguish between a "Black Swan" event and a "Dragon King" event and how Dragon Kings don’t come out of the blue, but almost always result from a visible drift toward a critical instability.