Modelling Nonlinear Nonstationary Processes in Macroeconomy and Finances

  • P. Bidyuk
  • T. Prosyankina-Zharova
  • O. Terentiev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 754)


Modern decision support systems need the methods of predictive modelling, which would allow create models of systems with given parameters, such that they are capable of being promptly subjected to changes and additions. It could be used to deal with uncertainties of different types, to maximize the automation of the process of constructing predictive models and improve the quality of forecasts estimated. This article is devoted to the study and solving the problem of modeling and forecasting nonlinear nonstationary processes in economy and finances using the methodology proposed based on systemic approach to model structure and parameter estimation. We present preliminary data processing techniques necessary for eliminating possible uncertainties, application of data correlation analysis for model structure estimation, and a set of model parameter estimation methods providing a possibility for computing unbiased estimates of parameters. Proposed methodology can be applied in decision support systems used in finance and economy spheres under conditions of various uncertainties and risks that usually take place in modeling and forecasting using statistical data. In the present paper we will describe in short the usage of the methodology of adaptive modelling and give a couple of examples presenting new results of its application for forecasting behavior of several economic and financial processes.


Nonlinear nonstationary process Uncertainties Modelling Forecasting Macroeconomy Finances 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute for Applied System Analysis NTUU “Igor Sikorsky Kyiv Polytechnic Institute”KyivUkraine
  2. 2.Institute of Telecommunications and Global Information Space of the National Academy of Sciences of UkraineKyivUkraine

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