National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Data Mining for Efficient Evaluation and Management of Stock Portfolio
YUMATOVA, Angelina
This bachelor thesis is based on the analysis and searching for suitable companies so that each investor can find and add to his portfolio a company that will provide the investor a stable income throughout his life. The main goal of this work is to show methods of companies valuation using ratio indicators, intrinsic value of companies and various Data mining methods. Detailed information about the concept of Data mining and the practical usefulness of Data mining methods will be presented. The work includes the main method that an investor uses to evaluate the estimated profit for the next five or ten years, such as the return on equity (ROE) method. It will also provide a comparison of shares and funds using the Dollar-Cost Averaging strategy and determining which is more beneficial for investing. In conclusion, ratio calculations, ROE methods and various data mining methods for well-known companies around the world are presented.
Stock portfolio optimization using multi-criteria methods
Mihál, Jakub ; Borovička, Adam (advisor) ; Čížek, Ondřej (referee)
This bachelor thesis aims to fulfill expectations of fictional investor, in other words choice of optimal stock portfolio based on preset requirements. First part of the bachelor thesis is dedicated to theoretical approach explaining stock markets, decision theory and linear programming. Process of the optimal portfolio selection is based on process consisting of 3 main steps. First steps selects stocks that are effective - worth investing - from investor's point of view. Selection is carried out via multi-criteria decion analysis method ELECTRE I. Second step verifies reliabitily of the output from step one. Third step designes mathematical model and resultant optimization in mathematical comilator LINGO. In conclusion I will focus myself on thorough interpretation and analysis of the results and choice of optimal portfolio.

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