National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
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
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
Analysis of performance of russian mutual funds
Hofman, Elena ; Musílek, Petr (advisor) ; Baran, Jaroslav (referee)
This thesis is focused on the analysis of performance of chosen russian mutual funds on the basis of achieved yield and risk. After short introduction to the russian market of mutual funds, the paper deals with a theoretical background underlying the performance indicators. Risk perception and following construction of indicators are discussed in detail from the perspective of modern and post-modern portfolio theory. The indicators are interpreted and appropriateness of their application is assessed. The analytic part is devoted to the application of discussed methods on 10 open-ended equity mutual funds. Based on the result, the funds are compared with each other and with selected market index.

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