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Design of Optimization Techniques for Investment Portfolio Selection of Novice Investors
Baňas, Martin ; Bartík,, Vladimír (oponent) ; Doubravský, Karel (vedoucí práce)
This bachelor thesis explores the potential of quantitative optimization methods to develop innovative portfolio strategies for novice investors. By combining economic concepts with practical applications in statistics and programming, the study constructs an accessible platform using Python, particularly through various libraries, to support informed investment decisions. It concludes that these tools significantly improve the ability of inexperienced investors to construct, understand and manage their portfolios, highlighting the potential for expanding their use for educational purposes within a financial education environment.

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