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Title:      NEURAL NETWORKS IN STOCKS PORTFOLIO MANAGEMENT SUPPORT
Author(s):      Tomislav Ribari?, Vanja Bevanda
ISBN:      978-972-8939-73-1
Editors:      Miguel Baptista Nunes, Guo Chao Peng, Jörg Roth, Hans Weghorn and Pedro Isaías
Year:      2012
Edition:      Single
Keywords:      Neural Networks, Multilayer Perceptron, Financial Time Series, Stocks, Forecasting
Type:      Poster/Demonstration
First Page:      129
Last Page:      131
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The paper describes the neural networks application supporting the investor’s stocks portfolio management decision-making. Based on the results of forecasting the future prices of the stock of Ericsson Nikola Tesla joint-stock company with the portfolio management support system, it is shown that the application of a multilayer perceptron for this purpose is efficient. The authors identified the main disadvantages of the application and the possible ways of using the obtained results as the bases for portfolio management decision-making.
   

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