APPLICATION OF ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF PORTFOLIO MANAGEMENT IN TERMS OF TIME INVESTMENT ON THE WARSAW STOCK EXCHANGE
APPLICATION OF ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF PORTFOLIO MANAGEMENT IN TERMS OF TIME INVESTMENT ON THE WARSAW STOCK EXCHANGE
Author(s): Marcin Halicki, Tadeusz KwaterSubject(s): Economy, Business Economy / Management, Financial Markets, ICT Information and Communications Technologies
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: artificial intelligence; stock exchange; features; investment;
Summary/Abstract: The paper presents the use of artificial neural networks as a tool expert, which supports decision-making for the quarterly period investing on the stock exchange. The authors also proposed a set of 12 features of the economy and the stock market, which has a universal character so that the approach presented in the publication of this configuration data can be useful for any chosen market. Tests were carried out on the basis of actual data from WSE (GPW in Warsaw) and the Polish economy.
Journal: Metody Ilościowe w Badaniach Ekonomicznych
- Issue Year: XV/2014
- Issue No: 2
- Page Range: 307-316
- Page Count: 10
- Language: English
