Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Didier Sornette & Guilherme Demos & Qun Zhang & Peter Cauwels & Vladimir Filimonov & Qunzhi Zhang, 2015. "Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash," Swiss Finance Institute Research Paper Series 15-31, Swiss Finance Institute.
More about this item
Keywords
Financial bubbles; Crashes; Probabilistic forecast; Johansen-Ledoit-Sornette model; Log-periodic power law singularity (LPPLS); Advanced warning; Chinese bubbles; Financial crisis observatory;All these keywords.
JEL classification:
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
- G01 - Financial Economics - - General - - - Financial Crises
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HME-2016-07-30 (Heterodox Microeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:chf:rpseri:rp1532. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.