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Assessing the Efficiency of a Shared Company Using Statistical Methods
Petrová, Veronika ; Kubeš, Michal (referee) ; Doubravský, Karel (advisor)
The master´s thesis deals with theassesment of financial performance of YXZ, a. s. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. The analytical part analyzes selected financial indicators, then statistical methods are used to predict future development for the coming two years and to detect dependencies between the indexes. The last part of the thesis contains suggestions for improving the company's existing financial efficiency based on the calculations from the practical part.
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Analysis of Economic Indicators Using Statistical Methods
Minár, Lukáš ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis is focused on the analysis of economic indicators using statistical methods of regression analysis and time series analysis of software company AIS Software, a. s. The theoretical part is devoted to explanation of selected economic indicators, and the theoretical description of the time series and regression analysis. The practical part deals with the analysis of selected economic indicators of the company based on its financial statements. The thesis is concluded with the prognosis of the future development using statistical indicators.
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Software Application for Assessment of Selected Indicators
Bureš, Marek ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor’s thesis aims to create a financial plan for the company Smartgym s.r.o. through the usage of chsoen indicators. All of this is going to be contained in an excel application, which will be available for continual usage in upcoming years for the company, not only for repeated calculations of economic indicators, but also statistic indicators, which are going to serve as basis for strategic decision making in investment field.
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Assessing the Efficiency of the ČSAD Kyjov Logistics a.s. Company
Skácel, Zdeněk ; Klimek, Evžen (referee) ; Doubravský, Karel (advisor)
Master's thesis deals with the assessment of financial performance of the company ČSAD Kyjov Logistics a.s. The theoretical part explains the theoretical basis of financial analysis, regression analysis, the issue of time series, correlation analysis and benchmarking. In the practical part contains the results of the financial analysis, some of which are subjected to statistical analysis, which analyzes the dependencies between indicators and their development for the next two seasons. The Company is also compared with two competing companies and are given suggestions to improve business performance.
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Assessing Selected Indicators Using Statistical Methods
Hlaváčková, Martina ; Součková, Markéta (referee) ; Doubravský, Karel (advisor)
The bachelor thesis is focused on evaluation of the financial situation of the company and the prediction of the potential development with the help of selected indicators of financial analysis and the use of statistical methods. The first part focuses on the theoretical background. In the second part - practical, there are selected indicators of financial analysis and statistical methods such as time series analysis and regression analysis. After that, on the basis of the results obtained at the end of the work, suggestions are suggested to improve the current situation of the company.
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Portfolio Optimization Using Metaheuristics
Haviar, Martin ; Doubravský, Karel (referee) ; Budík, Jan (advisor)
This thesis deals with design and implementation of an investment model, which applies methods of Post-modern portfolio theory. Particle swarm optimization (PSO) metaheuristic was used for portfolio optimization and the parameters were analyzed with several experiments. Johnsons SU distribution was used for estimation of future returns as it proved to be the best of analyzed distributions. The result is software application written in Python, which is tested for stability and performance of model in extreme situations.
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The Use of Statistical Methods for Data Processing
Melicherík, Filip ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This Bachelor’s thesis deals with the analysis of financial performance ŽOS Zvolen Company, Inc. by statistical methods. The first, theoretical, part is treated the issue of financial analysis, regression analysis and time series. The second, practical part describes this company and analyzes selected indicators, which are further processed by means of regression analysis and time series analysis. In the third part is completely analyzed situation and processed proposals for its improvement.
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Examination of the DECOSPAN CZ, s.r.o. Company Using Time Series Analysis
Skočík, Miroslav ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
Bachelor´s thesis is focused on the evaluation of the financial indicators of the company DECOSPAN CZ, s.r.o. with the help of statistical methods. Chosen financial indicators and questions of time series are outlined in the theoretical part. In the practical part there will be described results of analysis of chosen financial indicators with the help of time series and regression analysis and their prediction to the future. Results of analysis will be served as a basis for possible determination of objectives and strategies of the company.
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