The Financial Bubble Experiment: advanced diagnostics and forecasts of bubble terminations
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- D. Sornette & A. Johansen, 2001. "Significance of log-periodic precursors to financial crashes," Quantitative Finance, Taylor & Francis Journals, vol. 1(4), pages 452-471.
- Sornette, Didier & Zhou, Wei-Xing, 2006.
"Predictability of large future changes in major financial indices,"
International Journal of Forecasting, Elsevier, vol. 22(1), pages 153-168.
- D. Sornette & W. -X. Zhou, 2003. "Predictability of large future changes in major financial indices," Papers cond-mat/0304601, arXiv.org, revised Aug 2004.
- Jiang, Zhi-Qiang & Zhou, Wei-Xing & Sornette, Didier & Woodard, Ryan & Bastiaensen, Ken & Cauwels, Peter, 2010.
"Bubble diagnosis and prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles,"
Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 149-162, June.
- Zhi-Qiang Jiang & Wei-Xing Zhou & D. Sornette & Ryan Woodard & Ken Bastiaensen & Peter Cauwels, "undated". "Bubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles," Working Papers CCSS-09-008, ETH Zurich, Chair of Systems Design.
- Zhi-Qiang JIANG & Wei-Xing ZHOU & Didier SORNETTE & Ryan WOODARD & Ken BASTIAENSEN & Peter CAUWELS, 2009. "Bubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles," Swiss Finance Institute Research Paper Series 09-39, Swiss Finance Institute.
- Zhi-Qiang Jiang & Wei-Xing Zhou & Didier Sornette & Ryan Woodard & Ken Bastiaensen & Peter Cauwels, 2009. "Bubble Diagnosis and Prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles," Papers 0909.1007, arXiv.org, revised Oct 2009.
- D. Sornette & A. Johansen, 2001. "Significance of log-periodic precursors to financial crashes," Papers cond-mat/0106520, arXiv.org.
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Cited by:
- Yan, Wanfeng & Woodard, Ryan & Sornette, Didier, 2012.
"Leverage bubble,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 180-186.
- Wanfeng Yan & Ryan Woodard & Didier Sornette, 2010. "Leverage Bubble," Papers 1011.0458, arXiv.org, revised Nov 2010.
- Wanfeng YAN & Ryan WOODARD & Didier SORNETTE, 2010.
"Diagnosis and Prediction of Market Rebounds in Financial Markets,"
Swiss Finance Institute Research Paper Series
10-15, Swiss Finance Institute.
- Wanfeng Yan & Ryan Woodard & Didier Sornette, 2010. "Diagnosis and Prediction of Market Rebounds in Financial Markets," Papers 1003.5926, arXiv.org, revised Mar 2011.
- Jerome L Kreuser & Didier Sornette, 2017. "Super-Exponential RE Bubble Model with Efficient Crashes," Swiss Finance Institute Research Paper Series 17-33, Swiss Finance Institute.
- Vincenzo Liberatore, 2010. "Computational LPPL Fit to Financial Bubbles," Papers 1003.2920, arXiv.org, revised Jan 2011.
- Dror Y Kenett & Yoash Shapira & Asaf Madi & Sharron Bransburg-Zabary & Gitit Gur-Gershgoren & Eshel Ben-Jacob, 2011. "Index Cohesive Force Analysis Reveals That the US Market Became Prone to Systemic Collapses Since 2002," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-8, April.
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This paper has been announced in the following NEP Reports:- NEP-EXP-2009-11-07 (Experimental Economics)
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