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Assessment of the Financial Situation of a Company Using Statistical Methods
Lesonický, Lukáš ; Sova, Pavel (referee) ; Doubravský, Karel (advisor)
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.
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Use of Statistical Methods for Assessment of the Financial Company Performance
Dvořák, Václav ; Štěpánková, Vladěna (referee) ; Doubravský, Karel (advisor)
This thesis deals with the use of statistical methods in practice. From the field of statistics is the work of regression analysis and time series analysis, which brought to a critical assessment of the financial situation of the company HELIX Liberec, s.r.o. The work is divided into theoretical and practical parts. The theoretical part focuses on explanations of important terms of statistical and financial analyzes that are subsequently applied in the practical part. Finally, the practical part are assessed and proposals to improve the economic situation.
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Analysis of the Company Lear Corporation Czech Republic, s.r.o. Using Time Series
Zehnal, Jindřich ; Rusínová, Alena (referee) ; Doubravský, Karel (advisor)
Master’s thesis is focused on the analysis of selected economic indicators of company using time series and regression analysis. In the theoretical part there are described problems of time series and economic indicators. In the practical part there are analyzed selected economic indicators. By using time series and regression analysis is predicted future development of company. On the basis of these analyzes advices for economic growth are set up. This thesis includes a software that calculate these time series of economic indicators and on the basis of their equalizing of the regression curve predict the future.
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Assessment of the Financial Situation of a Company Using Statistical Methods
Machotka, Pavel ; Procházka,, Pavel (referee) ; Doubravský, Karel (advisor)
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.
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Assessment of the Financial Situation of a Company Using Statistical Methods
Krátká, Tereza ; Šubrt, Tomáš (referee) ; Doubravský, Karel (advisor)
This masters's thesis focuses on the analysis of selected indicators of the company using statistical methods. The first part describes the problems of selected indicators of financial analysis and time series. The second part analyzes the selected financial indicators of the company and with the help of time series and regression analysis predicts the expected development of the company. The main aim is to evaluate the current financial situation of the company and recommend measures for its improvement.
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Use of Statistical Methods for Data Processing
Hladiš, Lukáš ; Ing.Churý Tomáš (referee) ; Doubravský, Karel (advisor)
This thesis aims to evaluate a new manufacturing process by using statistical methods SPC. In the theoretical part provides the basic methods and rules applied in the assessment of control charts. The next part evaluates the current state of the company Hanhart Morkovice s.r.o. analysis and production of coils. The analytical part deals with control charts for reference and quality characters using statistical software process capability indexes and control charts. Based on information from the analytical part, conclusions are drawn and designed for long-term steps using established methods of SPC for quality characters.
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