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Analysis of the Indicators of the DEZA, a. s. Company Using Time Series
Kratochvíl, Bohumír ; Doubravský,, Karel (referee) ; Kropáč, Jiří (advisor)
In his final paper, the author examines and evaluates the statistical indexes of chemical factory DEZA, a. s. that have certain environmental aspects. The analysis itself is based on theoretical findings related to the regressive analysis and time series. Furthermore, the author designed an application in Visual Basic programming language that automatically solves math problems introduced in the final paper. The author also introduces a suggestion on how to improve the company's image.
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A Time Series Analysis of Unemployment
Haltufová, Veronika ; Ciprich, Nikola (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with unemployment analysis by time series. Chosen areas for this analysis are the Czech Republic, Moravian-Silesian regions and district of Karvina. Work deals with theory of time series, regression analysis and unemployment. It includes analysis of unemployment rate development in all three studies areas. Further it gives attention to age and educational structure in the Czech Republic, method and search period for job in Moravian-Silesian region and analysis of the quantity of applicants for one available and announced job position in district of Karvina. The outcome are parametric values of unemployment in specified period and prognosis for future.
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Analysis of Indicator Changes at the Adast Systems, a.s. Company Using Time Series
Všianský, Martin ; Trunečková, Dana (referee) ; Kropáč, Jiří (advisor)
This bachelor´s thesis analyzes economic indicators in Adast Systems Inc. using time series. Purpose of the thesis is to aplicate statistical methods for use in evaluating economic indicators in mentioned company during last ten years. Thesis is composed of two parts. In theoretical part we circumscribe basic concepts and formulas necessary to calculate regression functions of time series. In practical part we apply theoretical data to concrete data taken from annual company statements. Using time series analysis we are also able to predict future development of company´s economic indicators, which will serve us in adducing our own evaluation of company and in proposing of changes in corporate strategy. Utilisation of this prediction may be useful for corporate strategy.
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