Using artificial intelligence in analysing and predicting the development of stock prices of a subject company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001485" target="_blank" >RIV/75081431:_____/19:00001485 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using artificial intelligence in analysing and predicting the development of stock prices of a subject company
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, In: Contributions to Economics
ISBN
9783030117535
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
235-245
Publisher name
Springer
Place of publication
Cham, Switzerland
Event location
Cham, Switzerland
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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