Dragon-kings death in nonlinear wave interactions
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DOI: 10.1016/j.physa.2019.122296
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- Cao, Guangxi & Zhang, Minjia, 2015. "Extreme values in the Chinese and American stock markets based on detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 25-35.
- Bogachev, Mikhail I. & Bunde, Armin, 2011. "On the predictability of extreme events in records with linear and nonlinear long-range memory: Efficiency and noise robustness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2240-2250.
- A. Johansen & D. Sornette, 1998. "Stock market crashes are outliers," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 1(2), pages 141-143, January.
- Didier SORNETTE, 2009. "Dragon-Kings, Black Swans and the Prediction of Crises," Swiss Finance Institute Research Paper Series 09-36, Swiss Finance Institute.
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- Kaveh, Hojjat & Salarieh, Hassan, 2020. "A new approach to extreme event prediction and mitigation via Markov-model-based chaos control," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
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Keywords
Extreme events; Dragon-kings; Suppression; Three-wave interactions;All these keywords.
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