An Algorithm for Assessment and Forecasting of Industrial Enterprise Economic Stability with Probabilistic and Statistical Methods

被引：0

作者：

Shmidt, Andrey Vladimirovich ^{[1
]}

Khudyakova, Tatyana Albertovna ^{[1
]}

机构：

[1] Natl Res Univ, South Ural State Univ, Chelyabinsk, Russia

来源：

INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI | 2016年

关键词：

economic stability; financial stability; mini-economic system stability; probabilistic and statistical methods;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

The article examines main contemporary approaches to assessment and forecasting of industrial enterprise stability. It explores the main issues to which attention should be paid in the formation of methodological approaches to the assessment, forecasting and management of stability that appear with fluctuations in the external environment of the industrial enterprise functioning. On the basis of the analysis of modern scientific approaches to the quantitative assessment of the level of economic stability of the enterprise, the authors identify main requirements which are included in the methodology for the assessment of stability under conditions of variable economy.

引用

页码：2209 / 2214

页数：6