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Photovoltaic Power Plant Return on Investment Model
Skoupý, Ondřej ; Slavinský, Vojtěch (referee) ; Doubravský, Karel (advisor)
This master thesis focuses on the design of a model for estimating the initial investment cost in constructing a photovoltaic system and assessing its payback. The thesis includes an analysis of the electricity consumption behavior of selected households and an assessment of the critical input parameters necessary for designing the photovoltaic power plant system. Based on the data obtained, a model has been developed, the capabilities of which have been demonstrated in the example and are further discussed within this thesis. The model enables efficient preparation of quotations and payback analyses, which brings significant benefits to streamlining photovoltaic power plant system pricing activities.
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Design of Optimization Techniques for Investment Portfolio Selection of Novice Investors
Baňas, Martin ; Bartík,, Vladimír (referee) ; Doubravský, Karel (advisor)
This bachelor thesis explores the potential of quantitative optimization methods to develop innovative portfolio strategies for novice investors. By combining economic concepts with practical applications in statistics and programming, the study constructs an accessible platform using Python, particularly through various libraries, to support informed investment decisions. It concludes that these tools significantly improve the ability of inexperienced investors to construct, understand and manage their portfolios, highlighting the potential for expanding their use for educational purposes within a financial education environment.
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Mathematical Methods in Economics
Kosíř, Michal ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This bachelor thesis focuses on the analysis of the economic situation of a company using mathematical and statistical methods. The main task was to analyze the economic situation of the company for the period 2020,2021 and 2022 and to develop a tool in Visual Basic for Applications to automate this analysis. The first part is devoted to the theoretical background further needed for the analysis. The second part deals with the introduction of the company and the analysis of the economic indicators of the three entioned years. The final part describes the proposed solution to simplify the analysis.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Sachambula, Nelson Mendonca ; Měrtlová,, Libuše (referee) ; Doubravský, Karel (advisor)
This diploma thesis focuses on the assessment of the economic situation of XYZ Med s.r.o. for the period from 2013 to 2022. The economic situation of the company is evaluated on the basis of selected financial indicators, which are then subjected to statistical analysis in order to create a basis for the proposal of measures to improve the situation. The theoretical part describes the financial ratios, correlation analysis, regression analysis and time series. In the analytical part of the thesis, the calculation of financial ratios is performed and then a statistical analysis is carried out on the basis of which the future development of the company is predicted. The analysis also tests the dependence for selected ratios. The practical part contains suggestions for improving the economic situation of the company.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Sysel, Filip ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The bachelor thesis deals with the creation of a software application in Visual Basic for Application (programming language) in version 7.1, which facilitates the financial analysis ofa selected company by using selected mathematical and statistical methods. In thetheoretical part, the theoretical framework is defined based on a literature search. The practical part consists of a problem analysis (financial analysis of the enterprise) and a proposed solution to the problem, which includes a proposal for the developed software application and recommendations for the enterprise based on the financial analysis. The software application should then make the enterprise more efficient and faster in creating the financial analysis.
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Analysis of Economic Indicators Using Statistical Methods
Picka, Václav ; Vaníček, Jiří (referee) ; Doubravský, Karel (advisor)
The thesis is focused on the analysis of economic indicators of Brno Transport Company, Inc. using statistical methods. The issue of time series, regression analysis and selected economic indicators is illustrated in the theoretical part. In the practical part the indicators will be analyzed using time series and regression analysis associated with their predictions for the future. The last part contains recommendations for possible determination of strategies and business objectives.
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Assessing Selected Indicators Using Time Series
Sittková, Miriam ; Dostál, Jakub (referee) ; Doubravský, Karel (advisor)
Bachelor's thesis analyses selected indicators using time series of the company M Computers s.r.o. Analysis of indicators is divided into two parts. The first part focuses on the theory about selected indicators and description of time series. The second part analyses indicators and their expected development in years 2013 and 2014. The work contains proposals for improving the financial situation of the company.
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Assessing the Efficiency of a Company Using Statistical Method
Herčková, Simona ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
The master’s thesis deals with the assessment of the financial performance of the company using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression analysis and correlation analysis. In the practical part of the work is a calculation of selected financial indicators, then statistical methods are used to predict future developments and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation.
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