National Repository of Grey Literature 711 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
An Empirical Testing of CAPM Model on Crypto Currency Market
Bařina, Petr-Lev ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
Tato diplomová práce zkoumá aplikaci Modelu ocenění kapitálových aktiv (CAPM) na trhu s kryptoměnami. Práce zkoumá proveditelnost CAPM na tomto nově vznikajícím trhu, s důrazem na konstrukci efektivní hranice, tangenciálního portfolio, portfolia s minimální variancí a testování beta koeficientů. Pomocí kvantitativních metod tato práce hodnotí lineárnost beta koeficientů a vliv nesystematického risku na návratnost a posuzuje platnost předpokladů CAPM. Aplikace modelu je testována na tržním portfoliu a srovnávacího portfolia a výsledky jsou porovnány. Tato empirická analýza přispívá k pochopení aplikace tradičních finančních modelů na trzích s digitálními aktivy.
Analysis of economic data using statistical methods
Foltýnová, Andrea ; Doubravský, Karel (referee) ; Michalíková, Eva (advisor)
This bachelor thesis focuses on the financial and statistical analysis of the company called AREMA, s.r.o. At the beginning of the work, fundamental theories used for financial and statistical analysis are described. These theories are then applied in the analytical part of the thesis for the calculation of selected financial indicators and in the statistical part for the prediction of development in the upcoming two years. The last part is dedicated to the evaluation of the company's financial health, as well as the author's proposals for its improvement.
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.
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.
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.
Relationship Between Real Interest Rate Differentials and the Exchange Rate in Relation to the Sovereign Credit Rating
Jaššák, Jakub ; Svatošová, Veronika (referee) ; Doubravský, Karel (advisor)
The subject of this Master's thesis is an investigation of the relationship between real interest rate differentials and exchange rates, or rather an empirical verification of the theory, as well as to assess the impact of the sovereign credit rating on this relationship.. The thesis examines countries that have their own monetary policy and a floating exchange rate regime. The correlation analysis, also supported by Granger causality, is based on monthly data for 91 currency pairs of 14 countries for the period 1998 to 2023.
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.
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.
Analysis of economic data using statistical methods
Pavlásek, Boris ; Doubravský, Karel (referee) ; Michalíková, Eva (advisor)
This bachelor thesis deals with the analysis of the economic data of a company and the subsequent evaluation of its financial situation. In doing so, it uses the tools of financial analysis and statistical methods, namely regression analysis and time series. The theoretical part presents the theory needed to perform the analysis and also explains different financial indicators, statistical methods and regression functions. In the analytical part, data from the company's financial statements are used for financial analysis and subsequent forecasting of their future progress. In the last parts of the thesis, a comprehensive assessment of the financial situation of the company and suggestions for solving the identified problems are presented.
Creation of a software application to assess selected company indicators
Mikolaj, Šimon ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
The focus of this bachelor’s thesis is to create a software application that will serve a specific company for the evaluation of its selected indicators. The introductory theoretical part of the thesis describes financial and statistical analysis, along with the area of data mining. The following part deals with the analysis and evaluation of the current economic situation of the company, based on the results of the application. The final design section focuses on the presentation of the developed application and suggestions for improving the current economic situation of the company.

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