MACHOVÁ, Veronika and Marek VOCHOZKA. Using artificial intelligence in analysing and predicting the development of stock prices of a subject company. In Ashmarina, S., Vochozka, M. Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, In: Contributions to Economics. Cham, Switzerland: Springer. p. 235-245. ISBN 978-3-030-11753-5. 2019.
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Basic information
Original name Using artificial intelligence in analysing and predicting the development of stock prices of a subject company
Name in Czech Využití umělé inteligence pro analýzu a predikci vývoje cen akcií konkrétní společnosti
Authors MACHOVÁ, Veronika (203 Czech Republic, guarantor, belonging to the institution) and Marek VOCHOZKA (203 Czech Republic, belonging to the institution).
Edition Cham, Switzerland, Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, In: Contributions to Economics, p. 235-245, 11 pp. 2019.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/75081431:_____/19:00001485
Organization unit Institute of Technology and Business in České Budějovice
ISBN 978-3-030-11753-5
Keywords (in Czech) vývoj ceny akcií; umělé neuronové sítě; predikce; časové řady
Keywords in English stock price development; artificial neural networks; prediction; time series
Tags FKT, RIV19, SCOPUS
Changed by Changed by: Mgr. Eva Hynešová, učo 23116. Changed: 30/4/2019 10:07.
Abstract
Traditional methods for price prediction are no longer enough, new applications and techniques, such as artificial neural networks, are coming to the forefront. The aim of the paper is to analyze and predict the evolution of the stock price of Unipetrol, a.s. on the Prague Stock Exchange using artificial neural networks. Stock price data is available between January 2006 and April 2018.
Abstract (in Czech)
Tradiční metody pro predikci ceny již nestačí, do popředí zájmu se dostávají nové aplikace a techniky, například umělé neuronové sítě. Cíl příspěvku spočívá ve zpracování analýzy a predikci vývoje ceny akcií společnosti Unipetrol, a.s. na Burze cenných papírů Praha za využití umělých neuronových sítí. K dispozici jsou data o cenách akcií v období od začátku ledna 2006 do konce dubna 2018.
PrintDisplayed: 29/3/2024 13:22