ASSESSMENT OF THE FINANCIAL STATE OF COMPANIES IN THE COAL MINING SECTOR OF KUZBASS USING ENTROPY SIMULATION

Abstract

Changes in the global energy markets could not but affect the financial condition of coal companies. The reduction in the annual consumption of coal, the replacement of thermal coal, together with the volatility of prices for it, led to serious losses in the work of many companies. Kuzbass experienced the consequences of the ongoing energy transformation. The risk of massive bankruptcy of coal enterprises, dismissal of tens of thousands of employees has become a real economic threat for Kuzbass. This article is devoted to the problem of identifying signals indicating the risk of financial insolvency of coal mining companies. The instrumental mechanism for solving the problem in this study is represented by entropy modeling. The use of this method allows us to identify diagnostic signs on indicators of different nature and to compare various assessments of consistency in the general phase space with the results of the work of the operating coal enterprises of Kuzbass.