Open AccessEconomicsPhysics

A. Johansen, D. Sornette, O. Ledoit

1999.3.21Journal of Risk

DOI: 10.21314/jor.1999.014

tlooto Summary

Researchers use discrete scale invariance to predict financial crashes by analyzing log-periodic signatures in market data from 8 unrelated crashes between 1929 and 1998.

Abstract

We present a synthesis of all the available empirical evidence in the light of recent theoretical developments for the existence of characteristic log-periodic signatures of growing bubbles in a variety of markets including 8 unrelated crashes from 1929 to 1998 on stock markets as diverse as the US, Hong-Kong or the Russian market and on currencies. To our knowledge, no major financial crash preceded by an extended bubble has occurred in the past 2 decades without exhibiting such log-periodic signatures.

Citation format

JOHANSEN, A.; SORNETTE, D.; LEDOIT, O. Predicting financial crashes using discrete scale invariance [preprint]. arXiv, 1999. arXiv:cond-mat/9903321.