The thesis deals with the assessment of the economic situation of a selected company using statistical methods. The theoretical part describes the financial indicators, time series and regression analysis. The analytical part contains the calculation of selected indicators, which are subjected to statistical analysis. Based on the statistical analysis, the future development of indicators in the next two years is predicted. The last part contains suggestions that can lead to the improvement of the current situation of the company.

The diploma thesis deals with the evaluation of the economic situation of the company ABC, in the years 2012 to 2019. The first, theoretical part of the thesis describes financial indicators, regression and correlation analysis and time series. The practical part of the diploma thesis contains calculations of financial indicators, some of them are selected for statistical analysis, which further serves as a prediction of development in the next two years. The practical part also compares the results with the industry average. The last part of the work contains proposals that lead to the improvement of the financial situation of the selected company.

The presented diploma thesis is focused on the evaluation of the economic situation of the selected company in the years 2012 to 2019. The theoretical part presents the financial indicators, time series, regression and correlation analysis. The analytical part contains the results of financial indicators. Some results are then used for statistical analysis to determine the possible development of indicators in the next two years or to determine the dependence between certain indicators. The last part includes proposals to improve the current economic situation of the selected company.

The diploma thesis is focused on using of statistical data analysis as the effective tool for evaluation of characteristics and efficiency of the company, especially economic indicators. The goal will be to analyze the data by these means, to compare them and to make the conclusions and suggestions for improvement. From the knowledge of historical data and forecasting preconditions for the future the company will gain clearer image about its development and future direction.

The master's thesis deals with the aggregate reviews of the financial situation of one company. The assessment of the efficiency of the company is based on data and economic indicators analyzing. These economic and financial indicators are after then analyzed by statistical analysis. From the knowledge of historical data are forecasting preconditions for the future of the company. The last part of the master's thesis contains some possible resolutions, which use lead to improve financial situation of the company and increase of effectiveness and objectivity of planning in the company.

This Master's thesis focuses on applying artificial intelligence tools for the prediction of development financial markets. Major emphasis is placed on evaluating the usability of neural networks to determine the prediction in the foreign exchange markets. It is also provided suggestion for fully automated processing of market data and subsequent submitting of trading orders.

The thesis is focused on the analysis of the multiplex cinema market in the Czech Republic. The thesis evaluates the performance of selected multiplex with the help of statistical tools, time series, regression analysis and control charts. The current state is reviewed on the basis of results of the analysis and outlines the possible future development.

The Master´s thesis is concerned with an analysis of financial statements of a selected stock company using statistical methods and further comparisons with two major branch competitors. On the basis of the previous steps is settled comprehensive assessment of the current situation and future strategic steps are proposed. These steps are supposed to bring an economical growth to the company. The work is built up on the necessary theoretical economic and strategic backgrounds.

This thesis deals with the analysis of selected indicators of Zea a.s. by using statistical methods. Thesis evaluates performance of the company on the basis of the output of accounting. The first part is focused on theoretical aspects of selected economic indicators and the isme of time series. The second part is focused on individual financial indicators of the company to which are applied statistical methods to obtain forecasts for following years. The last part is the assessment of individual indicators and formulation of proposals and recommendations to improve the financial health of the company.

This thesis is focused on the use of time series and other statistical methods as a tool for examining the financial performance and financial position of the selected company. The aim is to assess the current situation of the company and on the basis of these results, draw conclusions and propose steps to improve the situation. Projections for future years will be based on knowledge of historical data.