Rating identification of industrial enterprises. Monograph
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A comprehensive methodology for the rating identification of industrial enterprises is disclosed and developed in the monograph in order to increase their investment attractiveness. The author’s definition of economic concepts "investment attractiveness", "rating" and "rating identification" were proposed.
The significance of the rating for enterprises as an effective information tool for interacting with investors and creditors is shown. A methodology for using public international credit ratings has been developed in creating tools and methods for increasing the level of investment attractiveness of the enterprise. Significant financial and economic indicators have been identified for building models of virtual credit ratings. Discriminant and neural network models of rating identification of domestic enterprises have been developed. The possibility of effective use of neural networks in the creation of rating models is shown. The economic effect of using the rating and rating of domestic enterprises were evaluated.
The legislation is provided as of December 2022
The book will be useful to financial analysts, financial directors, arbitration managers, investors, as well as scientists, students, graduate students, and teachers
The significance of the rating for enterprises as an effective information tool for interacting with investors and creditors is shown. A methodology for using public international credit ratings has been developed in creating tools and methods for increasing the level of investment attractiveness of the enterprise. Significant financial and economic indicators have been identified for building models of virtual credit ratings. Discriminant and neural network models of rating identification of domestic enterprises have been developed. The possibility of effective use of neural networks in the creation of rating models is shown. The economic effect of using the rating and rating of domestic enterprises were evaluated.
The legislation is provided as of December 2022
The book will be useful to financial analysts, financial directors, arbitration managers, investors, as well as scientists, students, graduate students, and teachers
Author:
Author:Zhdanov Vasily Yuryevich
Cover:
Cover:Hard
Category:
- Category:Business & Money
- Category:Science & Math
ISBN:
ISBN:978-5-392-38518-8
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