Fractal analysis of the economic sustainability of enterprise

Abstract

The article deals with the method of calculating the fractal analysis, the time series of economic sustainability of the industrial enterprise on the trend-resistant sustainability were investigated by estimating the depth of the long-term memory of the time series and constructing a phase portrait. According to the approach used, the “depth of the long memory” is estimated in terms of fuzzy sets. The approach to the estimation of the index of economic stability is developed, based on the methods of forming an integrated indicator consisting of an assessment of such subsystems as the industrial and technical, financial-economic and subsystem of main parameters of the market environment. These helps to estimate the economic stability of the enterprise in the conditions of incomplete information from purpose of making effective management decisions. Combination of techniques for the formation of an integral index and a fractal analysis of the assessment of its trend stability showed an effective result, which was confirmed by the experiments.

Machine learning for prediction of emergent economy dynamics

“…This article highlights further research by the authors, begun in [35,36,37]. The article "Big Data based marketing forecasting" [38] by Sergey M. Ivanov and Mykola M. Ivanov (figure 6) discusses the use of big data as a tool to increase data transfer speed while providing access to multidimensional data in the process of forecasting product sales in the market.…”

Reduction of Environmental Pollution and Gold Recovery Through Metallurgical Processes Without the Use of The Peruvian Mining Merchand Mercury

“…In [4] the method of R/S analysis and the method of hierarchical analysis were considered as applied to the economic sustainability of industrial enterprises. The purpose of work [5] was to show the predictability of the behavior of price series using the example of currency markets under the assumptions of the fractal market hypothesis and using the Hurst exponent.…”

Modeling the optimal distribution of profits for risk management of oil and gas enterprises

“…The most important role in this is played by risk management and ensuring an adequate level of enterprise security. Problems of the theory, methodology and practice of risk management were devoted to the scientific works by domestic and foreign economists: Donecz & Prudnikova [3], Horal & Fadieieva [4], Shumilova & Karataev [5], Panyagina [6], Nechaev & Prokopyeva [7], Kaverina [8], Matviychuk et al [9], Sudomyr [10], Shandova [11] [23], N. Havadzyn, N. Yurchenko. L. Neykova, T. Pakhomova, Y. Tyuleneva and other scientists.…”