eISSN: 2543-6821
DOI prefix: 10.2478
open access
free of charge
double-blind peer-reviewed journal

Is It Possible to Predict Crash?

This article presents one of the most promising methods to predict the sudden changes in the stock market, namely the theory of log-periodic oscillations. The authors, in addition to the above theoretical basis method referring to the theory of complex systems and critical phenomena, show empirical evidence of the effectiveness of this approach in predicting both the bust in the stock market, as well as in the resources market. The examples (based on the analysis and forecasts) shown in the research confirm that self-similar log-periodicity with a parameter contraction lambda ~ 2 is able to properly describe the dynamics of the stock exchange on different time scales.What ismore, the prediction, indicating a reversal of the uptrend in the stock market in September and October in 2009, was shown.

Issue: 25

Full Paper

logotypy ministerstwa

Dofinansowano ze środków Ministerstwa Nauki i Szkolnictwa Wyższego w ramach programu "Rozwój czasopism naukowych" (kwota 40 475 PLN)