This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Critical Market Crashes

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
D. Sornette (UCLA and CNRS-Univ. Nice)
Abstract

This review is a partial synthesis of the book ``Why stock market crash'' (Princeton University Press, January 2003), which presents a general theory of financial crashes and of stock market instabilities that his co-workers and the author have developed over the past seven years. The study of the frequency distribution of drawdowns, or runs of successive losses shows that large financial crashes are ``outliers'': they form a class of their own as can be seen from their statistical signatures. If large financial crashes are ``outliers'', they are special and thus require a special explanation, a specific model, a theory of their own. In addition, their special properties may perhaps be used for their prediction. The main mechanisms leading to positive feedbacks, i.e., self-reinforcement, such as imitative behavior and herding between investors are reviewed with many references provided to the relevant literature outside the confine of Physics. Positive feedbacks provide the fuel for the development of speculative bubbles, preparing the instability for a major crash. We demonstrate several detailed mathematical models of speculative bubbles and crashes. The most important message is the discovery of robust and universal signatures of the approach to crashes. These precursory patterns have been documented for essentially all crashes on developed as well as emergent stock markets, on currency markets, on company stocks, and so on. The concept of an ``anti-bubble'' is also summarized, with two forward predictions on the Japanese stock market starting in 1999 and on the USA stock market still running. We conclude by presenting our view of the organization of financial markets.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://arxiv.org/abs/cond-mat/0301543
File Format: text/html
File Function: Abstract
Download Restriction: no
File URL: http://arxiv.org/pdf/cond-mat/0301543
File Format: application/pdf
File Function: Latest version
Download Restriction: no

Publisher Info
Paper provided by arXiv.org in its series Quantitative Finance Papers with number cond-mat/0301543.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jan 2003
Date of revision:
Publication status: Published in Physics Reports 378 (1), 1-98 (2003)
Handle: RePEc:arx:papers:cond-mat/0301543

Contact details of provider:
Web page: http://arxiv.org/

For technical questions regarding this item, or to correct its listing, contact: (arXiv administrators).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Didier Sornette, 2007. "Nurturing Breakthroughs: Lessons from Complexity Theory," Quantitative Finance Papers 0706.1839, arXiv.org. [Downloadable!]
  2. Cornelis A. Los & Rossitsa M. Yalamova, 2004. "Multi-Fractal Spectral Analysis of the 1987 Stock Market Crash," Finance 0409050, EconWPA. [Downloadable!]
  3. J. V. Andersen & D Sornette, 2003. "Fearless versus Fearful Speculative Financial Bubbles," Quantitative Finance Papers cond-mat/0311089, arXiv.org. [Downloadable!]
  4. D. Sornette & W. -X. Zhou, 2003. "Predictability of large future changes in major financial indices," Quantitative Finance Papers cond-mat/0304601, arXiv.org, revised Aug 2004. [Downloadable!]
  5. Bernardo Spagnolo & Davide Valenti, 2008. "Volatility Effects on the Escape Time in Financial Market Models," Quantitative Finance Papers 0810.1625, arXiv.org. [Downloadable!]
Statistics
Access and download statistics

Did you know? The RePEc project started in 1997. Its precursor, NetEc, dates back to 1993.

This page was last updated on 2010-1-6.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.