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Assessing Economic Situation of a Company and Proposals for Its Improvement
Hynek, Jan Jaroslav ; Franková, Tereza (referee) ; Doubravský, Karel (advisor)
The master’s thesis deals with the assessment of the financial situation of XZY s.r.o. using financial analysis and statistical methods. The theoretical part is divided into financial and statistical theory. In these parts, it presents the definition of selected financial ratios and statistical methods, which include time series regression and correlation analysis. The theoretical part is followed by an analytical part in which the financial situation of the selected company is evaluated along with the prediction of selected ratios. Furthermore, the selected ratios are subjected to correlation analysis where the interdependence between them is examined. The paper concludes with suggestions for improving the financial situation of the enterprise.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Červinek, František ; Bezeli, Miroslav (referee) ; Doubravský, Karel (advisor)
The master's thesis analyzes the economic situation of the company PARDOSA – technik, s.r.o. using selected financial indicators and statistical methods. The thesis is divided into three parts. The first part describes the theoretical background of financial analysis, economic indicators, time series, correlation and regression analysis. In the second part, the analyzed company is briefly introduced first, and then calculations of selected financial indicators are performed along with their verbal evaluation and graphical representation. Based on the results of the analytical part, I will present suggestions and recommendations that should lead to the improvement of the economic situation of the analyzed company.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Rybár, Tomáš ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
The diploma thesis focuses on the assessment of the economic situation of Prefa Brno a.s. and possible suggestions for improving its performance. The theoretical part of the thesis is devoted to the explanation of the concepts of financial and statistical analysis. These concepts are then applied in the analytical part. From the financial analysis, the difference and ratio indicators are evaluated, supplemented by a set of indicators. Regression analysis is performed on selected ratios with a forecast for the following period and correlation analysis is used to identify the interrelationships between them. Conclusions are drawn from the results, which are used to formulate possible measures to improve the current economic situation of the entity under study.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Pokorný, Dominik ; Fuchs, Ondřej (referee) ; Doubravský, Karel (advisor)
The thesis deals with the assessment of the economic situation of CQQ in the years 2013–2022 based on the results of selected financial analysis indicators and statistical methods. The theoretical part of the thesis focuses on financial and statistical theory. The analytical part contains calculations of financial indicators of the company, some of which are further processed in the statistical analysis. The last part is devoted to the proposed solutions for correcting or improving the economic situation of the company.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Rýpal, Matěj ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This thesis focuses on the evaluation of the economic situation of the company GUMEX, spol. s.r.o. and the prediction of future development using statistical methods. The theoretical part of the thesis deals with the description of selected financial ratios and statistical methods such as time series analysis, regression and correlation analysis. In the practical part, the individual ratios are calculated to assess the financial condition of the analysed company and the selected ratios are then analysed using statistical methods to predict future developments. The final part of the thesis is devoted to the proposals based on the results of the analytical part of the thesis and aimed at improving the financial situation of the company.
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Predicting the success of football players using machine learning methods
Janeček, Jan ; Filipenská, Marina (referee) ; Ředina, Richard (advisor)
This bachelor thesis focuses on the implementation of an artificial neural network in the Python programming language using the Keras library. The aim of the work is the numerical prediction of a football player’s match readiness on a scale from 0 to 1. The prediction is based on five physiological-kinematic data obtained from three training sessions preceding a given match. The reference data for training the artificial neural network includes technical data on the number of successful and total actions during the match. The data used in this work was collected from Sigma Olomouc U19 football club players using Polar Team Pro and Wyscout software. The lowest recorded model error, which was 0.1046, was achieved using a single hidden layer containing 15 perceptrons.
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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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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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Assessment of Economic Situation of a Company and Proposals for Its Improvement
Trtková, Markéta ; Velecký, Lukáš (referee) ; Doubravský, Karel (advisor)
The diploma thesis evaluates the economic situation of the company Niveko s.r.o. in between years 2011 to 2018. The theoretical part describes financial indicators, time series, regression and correlation analysis. The analytical part contains calculations of financial indicators, some of which are selected for statistical analysis, which is used to determine the expected development of indicators in the next two years or to reveal the dependence between selected indicators. The last part contains suggestions for improving the current economic situation of the company.
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