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Mathematical Modeling of Company Efficiency Using Neural Networks in Maple
Bartulec, Tomasz ; Vašátko, Jiří (referee) ; Chvátalová, Zuzana (advisor)
The goal of this thesis is to study the possibilities of Artificial neural network as an innovative mathematical methods for financial analysis of company performance, to find out what are today´s requests for performance evaluation of companies are and to identify possible ways how to use this relatively new concept in this area. When processing the possibilities of the computer program Maple for mathematical calculations will be applied. Intermediate objectives are then acquainted with the basic principle on which the artificial neural networks works, to analyze the financial performance of specific company and evaluate potential predictive abilities of the proposed network. The result of the work should be evaluating the success of this approach to financial analysis and evaluation of its use in practice.
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Financial Analysis of Company Using the System Maple
Vecheta, Lukáš ; Mucha, Jan (referee) ; Chvátalová, Zuzana (advisor)
This master’s thesis deals with financial analysis of company Tenza, a.s. The results of financial analysis of this company are compared with results of competitive companies using modern and classical methods. It includes theoretical part which is necessary to complete the analysis, graphical and verbal interpretation of the results. At the conclusion of this thesis the observed companies are compared and possible steps to improve problematic points of solved problems are proposed.
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Program for Analyzing Economical Data via Mathematical Modeling in Maple
Žigárdy, Martin ; Hřebíček,, Jiří (referee) ; Chvátalová, Zuzana (advisor)
In this diploma thesis I constructed generally usable program for processing economical data through mathematical methods of linear regression in Maple system. Program is used for trend dependency analysis of examined quantities. Via multi-stage algorithmization and implementation of information criterion I created interactive form with user-friendly interface with possibility of straight data import from office suite applications. Functionality of this program is verified on example with specific data collection.
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Optimal Stock Portfolio Selection as an Investment Conundrum
Bradová, Klára ; Kutáč, Ivo (referee) ; Chvátalová, Zuzana (advisor)
The portfolio theory is microeconomic discipline which deals with the exploration of capital markets and assets that are traded on them. This diploma thesis is focused on optimal stock portfolio selection. The main aim is to find a final portfolio fulfilling the requirements. The first part provides the theory needed for the subsequent establishment of a practical case of the optimal portfolio. The second part is devoted to the actual calculations leading to finding the portfolio with the desired rate of return.
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The Way to Better Future Means to Understand the Past The Math Modelling
Míková, Libuše ; Papírník, Jaromír (referee) ; Chvátalová, Zuzana (advisor)
The main aim of my diploma thesis is to prepare easy math model, which can help to understand the development of economic indicators in time. This math model will show the dependence and important moment in their development and can help to improve the efficiency of company. All math models will be working up in system Maple which is very good helper in working up of big group of data. The partial aim is to show characteristics of company, to valorize the efficiency of company and compare this efficiency with main competitors. The results will be recommendations which should help positive influence the future efficiency of company, help with choose of strategy and the make a better position on the market.
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