Name
Kovalenko Anna Vladimirovna
Scholastic degree
•
Academic rank
—
Honorary rank
—
Organization, job position
Kuban State University
Web site url
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Articles count: 51
The review of the basic techniques of rating agencies of the Russian Federation and the algorithm of own technique of an estimation of credit status and investment appeal of regions Russian Federations with use of the device of the multivariate statistical analysis is described in this article
The article is devoted to the use of methods of cluster analysis, such as multivariate statistical, indistinct and neuronet, for an estimation of financial and economic condition of middle and small enterprises of building branch of Krasnodar region, and also to revealing of the reasons and laws of occurrence and development of crisis at these enterprises
The article provides an overview of the basic rating methodologies, describes an algorithm of the own methodology for estimation the creditworthiness and investment attractiveness of the agricultural enterprises of Krasnodar region, using modern mathematical models. The rating of 30 agricultural enterprises of various patterns of ownership and scale is presented. The rating of 30 agricultural enterprises of various patterns of ownership and scale is presented
The article’s conclusion is that for adequate and effective inflation modeling in Russia by means of modern neuronet technologies it is necessary to consider tendencies of economic development. For training and forecast, it is necessary to use only those periods of time within the limits of which identical economic tendencies work. The article uses modern tool means, such as neuronet, which is offered to technology, for approximation and forecasting of rates of inflation
The article is devoted to a problem of the analysis of economic and financial activity of region, an estimation and diagnostics of its social condition, to the analysis of investment appeal, credit status and potential of development by means of modern mathematical methods, models, tools, means and intellectual systems, on an example of Karachaevo-Circassian Republic
In this article, the author's approach for research of
financial and economic crisis of the enterprises with
use of canonical catastrophe of a fold and assemblage
is offered. Mathematical models of development
of crisis at the enterprise at different levels of
detailed elaboration: 1) at an estimation of liquidity
and solvency, financial stability, business activity,
profitability; 2) at an estimation of the general financial
and economic condition of the enterprise; 3) for
construction of potential of development of enterprise
are offered
The models of the estimation advertising effectiveness are reviewed and analyzed in the paper. The algorithm and example of the program’s work, which determines financial performance of the company with taking into account advertising investments is described and the mostly important results are discussed
In the article an effective system of an estimation of a financial and economic status of the factories of a building sector of Krasnodar region (Armavir district), based on use of methods of the multidimensional statistical analysis is introduced. The programmatic complex "FAP-stroi", including MS Excel plug-in, macros of «Statistica 6» and exterior processing of «1С: Enterprise 8» is built
The results of cluster analysis of the operational functioning of the Russian arbitration courts of various instances are shown, and the new mathematical model of discriminant analysis to measure the efficiency of arbitration courts are presented
The article presents a mathematical model of the effect on ion transport electro convection salt in non-smooth camera channel desalting electro dialysis apparatus in the presence of forced convection. The basic rules of process of electro convection are revealed