The methodological approach to forecast modeling of financial markets price dynamics in view of the system complexity

Purpose and subject of research The aim of this paper is to identify the essential system characteristics of financial market and methodological development of algorithm, which is used for behavior of market price’s forecast modeling. Research methodology A theoretical framework is proposed investigation of the financial market’s essential characteristics as a complex socio-economic system. Subsequently, described system attributes, which can be measured quantitatively, it is proposed to use for the analysis and prediction of the price’s behavior in the financial market. It is proposed algorithm for researching of financial markets as complex systems that use the system complexity’s attributes. Value results The present study provides a starting-point for further research of complexity’s attributes in the financial markets. Conclusions The proposed algorithm not only makes the process of financial market research correctly, but can be used for other socio-economic systems after some adaptation.