National Repository of Grey Literature 647 records found  beginprevious534 - 543nextend  jump to record: Search took 0.01 seconds. 
The Use of Artificial Intelligence on Stock Market
Brnka, Radim ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The thesis deals with the design and optimization of artificial neural networks (specifically nonlinear autoregressive networks) and their subsequent usage in predictive application of stock market time series.
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.
Assessment of the Financial Situation of a Company Using Statistical Methods
Otýpka, David ; Jachan, Oldřich (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the current financial situation of the firm DSB EURO s.r.o. Master's thesis is focused on using statistical tools, time series and regression analysis, as an effective tool for assessing enterprise characteristics, especially economic indicators. The aim of this work is to analyze economic data, using regression analysis to assess prognosis and to draw conclusions, which should serve the company for a stable and economic growth.
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.
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.
Analysis of the Multiplex Market Using Statistical Methods
Komárek, Lukáš ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
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.
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.
Analysis of Company Financial Statements Using the Time Series
Zachovalová, Pavla ; Perníčková, Šárka (referee) ; Doubravský, Karel (advisor)
This master´s thesis deals with the financial situation of SUDOP BRNO, spol. s r.o. The theoretical part explains the time series, regression analysis and financial analysis. The practical part is focused on development of economic indicators and predicts its trend for future. Also, the competitive status is evaluated. In the final part there are suggestions for improvement of company situation.
Assessment of the Financial Situation of a Company Using Statistical Methods
Pokorný, Luděk ; Štogl, Bedřich (referee) ; Doubravský, Karel (advisor)
The aim of master´s thesis is to assess the financial situation of company ČEZ. In the first part, there are prepared a theoretical basis of elementary and statistical methods of financial analysis, which is followed by the introduction of the company. In the second part, there is with using methods of financial analysis performed evaluation of financial situation of the company and the results are compared with competition.
The Use of Means of Artificial Intelligence for the Decision Making Support on Financial Market
Vrba, Patrik ; Litvík, Ján (referee) ; Dostál, Petr (advisor)
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.

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