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Portfolio Optimization Using Metaheuristics
Haviar, Martin ; Doubravský, Karel (referee) ; Budík, Jan (advisor)
This thesis deals with design and implementation of an investment model, which applies methods of Post-modern portfolio theory. Particle swarm optimization (PSO) metaheuristic was used for portfolio optimization and the parameters were analyzed with several experiments. Johnsons SU distribution was used for estimation of future returns as it proved to be the best of analyzed distributions. The result is software application written in Python, which is tested for stability and performance of model in extreme situations.
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Technical Analysis
Kosek, Lukáš ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis deals with problems of the technical analyses and its usage during creation of the automated trading systems. Theoretical section explains the basic principles of functioning of the monetary market (Forex) and includes technical indicators. Portfolio of strategies, as output of this work, was applied onto monetary pairs of Euro/American dollar and British pound/American dollar. Computer program Adaptrade Builder was used for proposed commercial strategies with help of the genetic algorithms and subsequently tested on the MetaTrader 4 commercial platform.
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Performance Evaluation of the Company Using Statistical Methods
Mičulka, Jan ; Karas, Michal (referee) ; Doubravský, Karel (advisor)
This master’s thesis contains performance evaluation of Profidebt company using financial analysis indicators from years 2006-2012, further SWOT analysis is performed together with statistical analysis of economic ratios with next term’s prognosis. In the first part, theoretical basis is explained and it is applied on the company in the second part of thesis. In the end, quantified results from the analysis are evaluated and proposals are devised.
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Assessing the Financial Efficiency of a Company Using Statistical Methods
Šebestová, Monika ; Gintherová, Stanislava (referee) ; Doubravský, Karel (advisor)
The master’s thesis deals with the assessment of the financial performance of a company using statistical methods. The theoretical part describes the problems of time series, regression analysis, correlation analysis and financial analysis. In the practical part statistical methods are used to reveal the dependence between the indicators and the prediction of the future development of the company in the coming years. On the basis of established results the company is compared with two important rivals, and there are made some suggestions how to improve its economic situation.
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Assessment of the Efficiency of the AGROMORAVIA, a.s. Using Time Series Analysis
Polach, Milan ; Sabolovič, Vladimír (referee) ; Doubravský, Karel (advisor)
This master‘s thesis deals with the performance evaluation AGROMORAVIA, a.s. using of classic, modern and statistical methods and subsequent formulation of own designs and their benefits to improve company performance. Based on the analysis results are compared with a competitor. In addition, selected economic indicators are subjected to statistical analysis and the result is a prediction of future development, from which derives valuable information that serves the proposals for improving the current situation of the company in the coming years. Analyses are performed for the period 2006 to 2012.
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Technical Analysis
Mičánek, Filip ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis deals with technical analysis, which is used to predict future development of stocks. The first part describes the theoretical background needed for the next section. This is followed by analysis of the current state, which assesses the current situation. The main part is devoted to the creation of a program to support technical analysis for the novice investor and the demonstration of its use in trading.
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