Adapted methods of nonlinear dynamics for preparation of economical time series data to forecasting procedure

Abstract

Purpose: аuthors propose to use adapted methods of nonlinear dynamics for preparation of economical time series data to forecasting procedure in order to identify chaotic dynamics and choose forecasting methods and models. Discussion: each step of the proposed set of methods for preliminary data processing allows us to put forward proposals on certain properties of the time series under study. This, in turn, proves that in order to obtain reliable and reasonable conclusions about the type of behavior of the system under study, there are not enough results from one of the many existing tests. Results: сonducting a comprehensive analysis will make it possible to most correctly determine the behavior type of the time series and its characteristics, which will make it possible to obtain a further reliable forecast.