FORECASTING FINANCIAL TIME SERIES USING A METHOD OF SELFORGANIZED CRITICALITY

Abstract

There are four main methods of forecastingfinancial time series: technical analysis,mathematical analysis, fundamental analysis, the use of neural networks. Evolution of financial time series is accompanied by bifurcations, characterizing the internal propertiesof the system. Then there is the unstable state and momentum, which is distributed in a distributed system stock exchanges. Giventhis mechanism to analyze the behaviorof financial time series, we use bifurcation theory and a system of nonlinear differential equations of parabolic type, which are thebasic equations in synergetics.

Keywords

• прогнозирование фи нансовых временных рядов
• бифуркации
• системы нелинейных дифференциаль ных уравнений параболического типа
• компьютерное моделирование
• forecasting financial time series
• bifurcation of a system of nonlinear differential equations of parabolic type
• computersimulation