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Use of Time Series for Technical Analysis of Shares
Hela, Michael ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This master's thesis deals with the analysis of selected rates of shares by using statistical methods including regression analysis and analysis of time series. Using moving averages as technical indicators in technical analysis of securities to predict the future development of rates of shares and finding buy and sell signals that these indicators generate. The results of this work are suggestions for stock trading based on the use of these methods.
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Financial Statements Analysis of the Company Norgren CZ Using Time Series
Veber, Antonín ; Kubuš,, Marek (referee) ; Doubravský, Karel (advisor)
The analysis of financial statements of Norgren CZ Company based on statistical methods and comparing with Festo Company, which is one of the best competitors this concern, is the object of presented thesis. Used methods are financial analysis and time series analysis. Suggest part of thesis is focused on inventory management, cost reduction and looking for new markets opportunities. The thesis contains theoretical background needed for full understanding of the analytical part, analysis and recommendations, which after putting themselves into practice contribute to the betterment of present condition as well.
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Using Time Series Analysis to Evaluate Company Efficiency
Sedmera, Tomáš ; Málek, Miroslav (referee) ; Doubravský, Karel (advisor)
The thesis focuses on assessing economic health of Agro Zvole, a.s. company, operating in the agricultural sector, producing plant and animal production. For objective evaluation of economic performance financial analysis indicators are used, to also work with statistics, represented by timeline analysis technique. Both previous numerical procedures (methodology) are based on company financial statements for each fiscal period. To be specific, individual indicators of financial analysis from the financial statements (profit and loss account and balance sheet) are calculated for each fiscal period and these are then aligned using time lines and future trends prediction (development). The individual results are accompanied by commentaries. To create the right comments, resulting from arithmetic operations, it is useful to compare individual results with management of other corporate entities within a single sector of the economy and their respective area. That is why other agricultural companies from former Žďár nad Sázavou district are included in the research as they follow: Agria Ujčov, a.s., Bobrovská, a.s. and Bohuňov Company, a.s. Previous research conclusions based on results of comparing the management of Agro Zvole, a.s. with managements of other companies are used to discover gaps of Agro Zvole, a.s. management. Next section of the thesis is devoted to model my own proposals to eliminate or at least alleviate problematic conditions in the company's performance. It is important to find mistakes, but more importantly find a way to eliminate them. In conclusion, the thesis summarizes the results of each part of the work and its benefits are outlined for the referenced entity.
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Assessment of Company Financial Situation Using Statistical Data Analysis
Harťanská, Gabriela ; MBA, Pavel Míka, (referee) ; Doubravský, Karel (advisor)
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.
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Assessment of Company Financial Situation Using Statistical Data Analysis
Čapka, Jakub ; Bartocha, Jaroslav (referee) ; Doubravský, Karel (advisor)
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.
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