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Portfolio Optimization Using Genetic Algorithm
Kuruc, Igor ; Hanušová, Helena (referee) ; Chvátalová, Zuzana (advisor)
This bachelor's thesis focuses on using knowledge of portfolio theory and methods of soft computing. Theoretical backgroung is provided by postmodern portfolio theory and genetic algorithms. The purpose of aplicational section is maximizing risk-return measure. The result is optimized portfolio based on required properties. All calculation are made in Matlab software
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Stochastic Programming Methods for Investment Decisions
Kubelka, Lukáš ; CFA, Tomáš Menčík, (referee) ; Popela, Pavel (advisor)
This thesis deals with methods of stochastic programming and their application in financial investment. Theoretical part is devoted to basic terms of mathematical optimization, stochastic programming and decision making under uncertainty. Furter, there are introduced basic principles of modern portfolio theory, substantial part is devoted to risk measurement techniques in the context of investment, mostly to the methods Value at Risk and Expected shortfall. Practical part aims to creation of optimization models with an emphasis to minimize investment risk. Created models deal with real data and they are solved in optimization software GAMS.
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Optimization in Finance
Sowunmi, Ololade ; Hrabec, Dušan (referee) ; Popela, Pavel (advisor)
This thesis presents two Models of portfolio optimization, namely the Markowitz Mean Variance Optimization Model and the Rockefeller and Uryasev CVaR Optimization Model. It then presents an application of these models to a portfolio of clean energy assets for optimal allocation of financial resources in terms of maximum returns and low risk. This is done by writing GAMS programs for these optimization problems. An in-depth analysis of the results is conducted, and we see that the difference between both models is not very significant even though these results are data-specific.
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Security Portfolio Optimalization
Roušavý, Jan ; Zerzánek, Ivan (referee) ; Sojka, Zdeněk (advisor)
Diploma thesis focuses on the issue of an appropriate selection of securities and the subsequent establishment of a portfolio of these securities. Follow detailed discussion about analysis of portfolio and investor’s preferences. Below is a description of the CAPM model, its assumptions and usage of this model to build a portfolio. Then there is the actual calculation of characteristics of securities traded on the Prague Stock Exchange and on the basis of these calculations is made the proposal of several portfolios and their evaluation.
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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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The Investment Models in an Environment of Financial Markets
Krňávek, Jan ; Lukeš, Zdeněk (referee) ; Budík, Jan (advisor)
The thesis deals with the optimization of the selected investment portfolio. Solver suggests automated investment model that will use advanced algorithms based on artificial intelligence and principles of technical analysis. Optimization of parameters and verifying the performance of the investment model is realized on historical market data. The result of this thesis is optimized investment model with an emphasis on maximizing profits and stability. The thesis is realized in an environment Python programming language and freely available analytical libraries.
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Technical Analysis
Ondrušová, Denisa ; Žídková, Lucie (referee) ; Novotná, Veronika (advisor)
This master‘s thesis is focused on creating an application, which would suggest an optimal portfolio of shares from SPAD Stock Market Praha. The application is based on the CAPM model, which is also described in this paper. There is a calculation of securities characteristics and specific portfolio diversification is suggested. The application also allows a user to simulate investments based on his requirements.
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Software Design for Portfolio Investment Decision Support
Seifert, Marián ; Juríček,, Jozef (referee) ; Škapa, Stanislav (advisor)
This thesis deals with the security portfolio optimization. For this process will be created software, which outputs should help the investor to decide. The program will be able to choose specific investor portfolio designed according to the recommended investment period and the corresponding risk. Further feature is the possibility of creating their own portfolio according to specific requests.
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Selected financial optimization models
Bujnovský, Daniel ; Bednář, Josef (referee) ; Popela, Pavel (advisor)
This work is focused on models of optimal asset and liability management. The practical section illustrates various ways of modelling strategies depending on the problem formulation, chosen set of assets and the type of the used optimization technique. The main examples are portfolio immunization and the Yasuda-Kasai model together with the extended version of Markowitz model. The author provides across the work an overview of different financial risks and various tools for their measurement together with possible formulations of expected returns relevant to the studied models. The individual models are compared and often extended by other constraints in order to improve their practical applicability. From the point of view of the mathematical optimization several ways of input data generation are described for example by using the extended Brownian motion. All practical parts go hand in hand with illustrative pictures and codes. The necessary financial and mathematical theory is included as well.
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Portfolio optimization
LOJDA, Patrik
This diploma thesis is focused on portfolio optimization for a selected client. As a first task, a set of 35 company shares are chosen out of 6 business areas in order to ensure variety. With the help of Markowitz theory, optimal portfolios are created. In the beginning, it is mainly about optimization tasks that focus on only one of the two conflicting goals. Followed by modifications of the optimization function and of course putting those portfolios in a graph. By adding a risk-free asset we create a capital market line that achieves better results than the original Markowitz theory. The thesis also uses a security market line for the evaluation of individual shares, from which the optimal portfolio is compiled. Fama-French three-factor model is also presented. The resulting portfolios are tested on the next year data and with the help of the acquired knowledge an optimal portfolio is created for the selected client.
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