Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash
Guilherme Demos (),
Vladimir Filimonov and
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Didier Sornette: ETH Zurich and Swiss Finance Institute
Qun Zhang: ETH Zurich and South China University of Technology
Peter Cauwels: ETH Zurich
Vladimir Filimonov: ETH Zurich
Qunzhi Zhang: ETH Zurich
No 15-31, Swiss Finance Institute Research Paper Series from Swiss Finance Institute
The authors assess the performance of the real-time diagnostic, openly presented to the public on the website of the Financial Crisis Observatory (FCO) at ETH Zurich, of the bubble regime that developed in Chinese stock markets since mid-2014 and that started to burst in June 2015. The analysis is based on (i) the economic theory of rational expectation bubbles, (ii) behavioural mechanisms of imitation and herding of investors and traders and (iii) the mathematical formulation of the Log-Periodic Power Law Singularity (LPPLS) that describes the critical approach towards a tipping point in complex systems. The authors document how the real-time predictions were presented in the automated analysis of the FCO, as well as in our monthly FCO Cockpit report of June 2015. A complementary postmortem analysis on the nature and value of the LPPLS methodology to diagnose the SSEC bubble and its termination is also given.
Keywords: Financial bubbles; Crashes; Probabilistic forecast; Johansen-Ledoit-Sornette model; Log-periodic power law singularity (LPPLS); Advanced warning; Chinese bubbles; Financial crisis observatory (search for similar items in EconPapers)
JEL-codes: F37 G01 G17 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cna, nep-fmk and nep-hme
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Working Paper: Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp1531
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