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Application of Mathematical and Statistical Methods in Company Management
Brančík, Jakub ; Janková, Zuzana (referee) ; Novotná, Veronika (advisor)
This master thesis deals with the investment recommendation for Czechoslovak Com- mercial Bank, a.s. The recommendation is based on business strategy based on Fibonacci retracement and analysis of the current risks of financial markets. The first part deals with the parameters and the results of the business strategy. Second part proposes investment and non-investment recommendations. At the end of the thesis are summarized all aspects of the research.
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Investments in Shares of Multinational Food Companies
Capák, Andrej ; Luňáček, Jiří (referee) ; Rejnuš, Oldřich (advisor)
The diploma thesis focuses on a fundamental analysis of shares of European multinational food companies. The theoretical part describes methods of fundamental analysis. The analytical part includes testing of stock valuation models, selection of companies, their analysis and comparison. The last part includes proposal of portfolio of the hedge fund.
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Trading with Equity CFDs
Zach, Jiří ; Bizoň, Jaromír (referee) ; Budík, Jan (advisor)
The aim of this thesis is to design an investment strategy focused on tool called CFD. The first theoretical part contains basic information about financial derivates and explains basic principles of trading on stock market with contracts for difference. Chapter of the investment analysis explains the methods and rules used in trading. The practical part presents the results of my trading CFDs and evaluated my proposed strategy along with the benefits of work.
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Fundamental Analysis of Numerical Data for Automatic Trading
Huf, Petr ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
This thesis is aimed to exploitation of fundamental analysis in automatic trading. Technical analysis uses historical prices and indicators derived from price for price prediction. On the opposite, fundamental analysis uses various information resources for price prediction. In this thesis, only quantitative data are used. These data sources are namely weather, Forex, Google Trends, WikiTrends, historical prices of futures and some fundamental data (birth rate, migration, \dots). These data are processed with LSTM neural network, which predicts stocks prices of selected companies. This prediction is basis for created trading system. Experiments show major improvement in results of the trading system; 8\% increase in success prediction accuracy thanks to involvement of fundamental analysis.
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Automatic Trading System for CFD Markets
Novák, Milan ; Novotná, Veronika (referee) ; Budík, Jan (advisor)
This thesis deals with design, optimization and testing of an automated trading system intended for trading CFD contracts. The strategy is based on a combination of a moving average and a custom indicator, which gives signals based on convergence of signals of other monitored indicators. The designed automated trading system also contains a simple, but efficient money management. It is responsible for risking a constant portion of current account balance on each trade. The thesis continues with comparison of three ways to optimize chosen input parameters and comparison of performance of the strategy for ten tested market symbols.
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The Investment Models in an Environment of Capital Markets
Komárek, Lukáš ; Budík, Jan (referee) ; Smolíková, Lenka (advisor)
This thesis deals with models of investment strategies in an environment of capital markets. Based on the research environment of financial markets, analysis of available financial products and the help of supporting information resources, there are developed and simulated three different investment strategies – risk dynamic strategy, medium balanced strategy and a stable conservative strategy. The output of work is an investment questionnaire, which is used to select appropriate investment strategies, and three models of investment strategies, including evaluation. Investment evaluation itself is performed by fuzzy logic.
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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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Investment into Dividend Stocks Traded on European Exchange Markets
Křižka, Adam ; Ulman, Martin (referee) ; Rejnuš, Oldřich (advisor)
The bachelor thesis is focused on an investment into dividend shares traded on european exchange markets, for expansion of an investment portfolio of a mutual fund. Theoretical part of thesis explains financial markets and their functions in economy, basic of colective investment funds. Fundamental, technical and psychological analysis methods for securities trading are also explained. The practical part is focused on comparison of selected dividend shares. The resulting comparison will be verified using a creditworthiness model. Final part is focused on a recommendation for an investment to update the portfolio of the selected dividend mutual fund.
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The Use of Statistical Methods in Technical Analysis of Stocks
Pavlásek, Ondřej ; Otýpka, David (referee) ; Doubravský, Karel (advisor)
This diploma thesis is focused on using statistical methods of technical analysis of stocks. The teoretical part describes basic principals of regression and technical analysis with a description of the technical indicators that are used to predict the future development of share prices and finding appropriate moment to buy or sell stocks. The results of the analysis is the comparison of indicators and their applicability to trade the stock titles.
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