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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 the Financial Efficiency of a Company Using Time Series Analysis
Lungová, Monika ; Holeček, Libor (referee) ; Doubravský, Karel (advisor)
This bachelor's thesis is focused on comapany´s analysis of financial efficiency using time series, regression analysis and assessment of economic indicators. The thesis is divided into three parts. There is describtion of time series, regression analysis and chosen economic indicators in the theoretical part. In the practical part are created time series of calculated indexes in the given periods and compiled forecasts of future development. There are suggestions for improvement to increase business performance in the last section of thesis.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Baumrukrová, Eliška ; Soukeník, Luděk (referee) ; Doubravský, Karel (advisor)
The diploma thesis evalutes the economic situation of Česká zbrojovka a.s. in the years 2012 to 2020, based on the results of selected financial analysis indicators and statistical methods. The theoretical part desribes financial indicators, time series, regression and correlation analysis. The analytical part contains calculations of financial indicators, some of which are further selected for statistical analysis and on the basis of which the expected development of indicators for the next two years is determined, or the dependence between these selected indicators is revealed. The last part includes suggestions for improving the current economic situation of the company.
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The Use of Statistical Methods for Data Processing
Velecká, Markéta ; Mikuš, Erik (referee) ; Novotná, Veronika (advisor)
The diploma thesis evaluates economic status of selected company by analysis of main financial indicators. The analysis is made by regression analysis method and forecast of time series is made by using selected regression function. The thesis result is evaluation of executed analysis and list of recommendations for improvement of the current economic company status.
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An Analysis of the Company VHOS, a.s. Using Statistical Methods
Vrbovský, Tomáš ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor’s work is directed to consider the performance of company by ekonomical indexes and time series. In the first part of work, which we can call theoretical, there will be explained instruments, which were used during the work. The second part will be practical, here will be counted main economical indexes, which are the most important for company and thanks these outcomes will be created time series, which will advice, which direction the company being developed. The goal of my work is to analyze the present state of company and tell the hypotize, which could lead to increase the performance of the company.
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Analysis of Economic Data Using Statistical Methods
Matějková, Petra ; Beranová, Zuzana (referee) ; Michalíková, Eva (advisor)
This master‘s thesis evaluates the financial situation of the company using selected indicators of financial analysis using time series analysis and regression analysis. Theses is separated into two parts. The theoretical part focuses on the issue of economic indicators, financial analysis, interpretation and on time series. The practical part deals with analysis of economic indicators, which will then be subjected to statistical analysis, which tries using statistical methods to analyse the trend of individual indicators and on the basis of values from previous periods to predict future developments.
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