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The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Vaško, Jan ; Kříž, Jiří (referee) ; Dostál, Petr (advisor)
Diploma thesis deals with analyzing the possibility of using artificial intelligence, specifically artificial neural networks and fuzzy logic, on the capital markets as a tool to support decision making in business. The Matlab software is used for this purpose. The work is divided into three parts. The first part deals with theoretical knowledge, brief description of the current situationin is covered in a second part and the theoretical solutions are applied to the system in the third section.
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Investing in Commodities through Futures Contracts
Králík, Patrik ; Bílek, Michael (referee) ; Rejnuš, Oldřich (advisor)
The diploma thesis focuses on the analysis and comparison of selected commodities in order to create an investment recommendation to diversify the hedge fund's equity portfolio. The theoretical part deals with issues related to the investment portfolio, commodities, trading through futures contracts and explains the applied analytical methods. In the practical part, commodities are first selected, which are then analyzed by selected methods and finally compared by a comparative method. The last part of the work contains, based on the results, a proposal to expand the investment portfolio and the process of making investments through commodity futures contracts.
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Predictive Modelling with Python
Duda, Jan ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
The main goal of this bachelor thesis is get to know with the data mining and its domain, also with the Knowledge discovery in databases process. It shows the most importnant approaches, which are implemented in Python language afterwards. The case study contains the prediction of index S&P 500 describing stock market developments on the US stock exchange. Both classification and regression models are used for the forecasting. Model evaluation is reached by the Monte Carlo experimental method.
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Investing in Commodities through Futures Contracts
Králík, Patrik ; Bílek, Michael (referee) ; Rejnuš, Oldřich (advisor)
The diploma thesis focuses on the analysis and comparison of selected commodities in order to create an investment recommendation to diversify the hedge fund's equity portfolio. The theoretical part deals with issues related to the investment portfolio, commodities, trading through futures contracts and explains the applied analytical methods. In the practical part, commodities are first selected, which are then analyzed by selected methods and finally compared by a comparative method. The last part of the work contains, based on the results, a proposal to expand the investment portfolio and the process of making investments through commodity futures contracts.
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Predictive Modelling with Python
Duda, Jan ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
The main goal of this bachelor thesis is get to know with the data mining and its domain, also with the Knowledge discovery in databases process. It shows the most importnant approaches, which are implemented in Python language afterwards. The case study contains the prediction of index S&P 500 describing stock market developments on the US stock exchange. Both classification and regression models are used for the forecasting. Model evaluation is reached by the Monte Carlo experimental method.
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Investice do akcií a zlata
Horký, Lukáš
This bachelor thesis focuses on the comparison between the selected investment assests, namely stocks and gold, based on historical return, risk and Sharpe ratio, in period 2000 - 2014. The first part describes the basic theoretical background of the financial market and mentioned investment assests. This section also describes how can be traded with these assests on financial market. The next part is an analysis of the factors which significantly participates in development of a stock and gold markets. The third and final part focuses on the analysing and processing data in the selected time period. Based on the calculated values in the final stage compares shares and golds.
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The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Vaško, Jan ; Kříž, Jiří (referee) ; Dostál, Petr (advisor)
Diploma thesis deals with analyzing the possibility of using artificial intelligence, specifically artificial neural networks and fuzzy logic, on the capital markets as a tool to support decision making in business. The Matlab software is used for this purpose. The work is divided into three parts. The first part deals with theoretical knowledge, brief description of the current situationin is covered in a second part and the theoretical solutions are applied to the system in the third section.
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