Shkodina I. Stock market self-organization in the period of global uncertainty

Object of research: self-organization of stock marketin conditions of global uncertainty. Research objective: development of theoretical and methodological bases of self-organization of stock market in conditions of global uncertainty and theoretical and practical guidelines feasibility of their implementation method. Research methods: dialectical method, the unity of logical and historical, systems concept, abstract, theoretical generalization and systematization, observation and generalization, analysis and synthesis, assessment method, comparison and classification, statistical analysis, fractal analysis. Results and novelty: synergetic principles of stock market evolution research are marked out and discovered for the first time, their realization in conditions of global uncertainty favors the regulation of institutional system of stock market; the existence of convergence tendency of stock market models by co-evolution law is substantiated; the entity of “propensity to self-organization/organization” is introduced and developed. The main role substantiationof self-organization in institution forming is improved; the stock market entity is discovered by systematization of its functions by separation of two functions complexes – self-organization and organization; methodological approach to definition of mechanism of economic system regulation, which is represented by dual process of simultaneous conscious regulation and self-regulation of economy, the theoretical explanation of institutionalization necessity of democratic norms and rules of conduct by detection of institutional trap; understanding of the discrepancy effects of formal institutions in self-organizational tendencies in society. The model generalization of SRO participation in stock market reformation process, stock market dynamics description in post-crisis period, identification of dynamic factors of modern Ukrainian stock market, forecasting technique methods of stock index dynamic based on discount of fractal dimension of series of observations are developed further. Sphere of use: research, teaching, practical activity of economy regulation government