Logical and statistical modeling of the integral indicator of financial stability

Subject. The article addresses the logical and statistical modeling of financial stability indicators of enterprises. Objectives. The study aims at logical and statistical modeling of integral indicator of financial stability, and comparison of the results with expert estimates. Methods. The study employs analysis and synthesis, dialectical cognition and abstraction, expert assessments, and logical and statistical modeling. Results. Based on the assessment of financial stability coefficients (absolute liquidity, financial independence, financial stability, equity maneuverability, profitability of sales), we calculated maximum values of corresponding integral indicator for enterprises of the Donetsk People's Republic. The consistent analysis of crisis and normal values of the studied indicators enabled to substantiate the range of changes in the integral indicator of financial stability. The results of calculated variance of reproducibility helped underpin the coefficients of regression equation of the corresponding integral indicator of financial stability. Conclusions. To analyze the level of financial stability of the studied heavy and light industry enterprises operating in the Donetsk People's Republic, it is preferable to implement a fractional factorial model, and for trade and service enterprises – an expert model.