
21.03 €
Methods of comprehensive evaluation of the enterprise
The publication presents and analyses the methods of complex evaluation of a company in a very clear way. Comprehensive information is available not only for managers and entrepreneurs, but also for students of economics or finance. In the book readers will find the most commonly used methods, information about their construction and origin.
The book deals with the overall corporate environment, summarizes the objectives of the enterprise and primarily deals with the main objective of the enterprise – shareholder value growth. It also refers to Management by Objectives. It also deals with Schmallenbach financial analysis, single factor analysis models, risk index models, multivariate discriminant analysis, conditional probability models and benchmarking models. It will also include models based on the use of artificial neural networks with a teacher and artificial neural networks without a teacher.
The individual chapters summarize what has been learned so far, the methodology for creating these models, specific examples used, and an evaluation of the advantages and disadvantages of the methods. Several chapters contain models created by the authors of the publication (especially models based on artificial neural networks).
The book deals with the overall corporate environment, summarizes the objectives of the enterprise and primarily deals with the main objective of the enterprise – shareholder value growth. It also refers to Management by Objectives. It also deals with Schmallenbach financial analysis, single factor analysis models, risk index models, multivariate discriminant analysis, conditional probability models and benchmarking models. It will also include models based on the use of artificial neural networks with a teacher and artificial neural networks without a teacher.
The individual chapters summarize what has been learned so far, the methodology for creating these models, specific examples used, and an evaluation of the advantages and disadvantages of the methods. Several chapters contain models created by the authors of the publication (especially models based on artificial neural networks).
Whole description
Specifications
Basic
Author
Marek Vochozka
Počet stran
480 pages
Rok vydání
2020
Nakladatel
Grada
Language
Czech
Format & type of protection
Available format
PDF for ebook readers
Type of protection
Social DRM
All parameters
| Code: | EK36825 |
| Manufacturer information |
Grada Publishing a.s., U Průhonu 22, Praha 7, 17000 Česká republika, 220 386 401 [email protected]
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