EPJ Web Conf.
Volume 224, 2019IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|Number of page(s)||4|
|Section||Mathematical Models in Economics, Social Sciences, Methodology and Management|
|Published online||09 December 2019|
Entropy Economic Model of the Company
Plekhanov Russian University of Economics, RU-117997, Moscow, Russia
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Published online: 9 December 2019
The article discusses the entropy approach to the analysis of corporate financial system on the basis of the financial coefficients and market share price rates. The uncertainty of the corporate financial attractiveness is assessed using the entropy indicator of a random vector. Financial indicators such as Liquidity Financial Ratios, Operating Financial Ratios, Leverage Financial Ratios, Profitability Financial Ratios and Market Ratios serve here as vector components. Discrete entropy models of random vectors as well as differential entropy models for continuous probability distributions were used. It is shown that special probability distributions, approximately coinciding with the basic statistical ones for the first two moments, set the boundary of the maximum differential entropy. The entropy indicators were calculated based on the probability and entropy measures.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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