Predicting future Brent oil price on global markets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001969" target="_blank" >RIV/75081431:_____/20:00001969 - isvavai.cz</a>
Result on the web
<a href="https://actamont.tuke.sk/pdf/2020/n3/10vochozka.pdf" target="_blank" >https://actamont.tuke.sk/pdf/2020/n3/10vochozka.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.46544/AMS.v25i3.10" target="_blank" >10.46544/AMS.v25i3.10</a>
Alternative languages
Result language
angličtina
Original language name
Predicting future Brent oil price on global markets
Original language description
The high volatility of oil prices is a cause of prediction complexity, especially in times of crisis or during the current coronavirus pandemic. In this paper, a special and promising type of artificial neural network – LSTM (Long Short-Term Memory) is used for predicting oil prices. The paper's objective is to predict the development of Brent oil prices' daily values to 30 June 2021. For this purpose, available data for the period from the end of June 1988 to the end of November 2020 is used.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Montanistica Slovaca
ISSN
1335-1788
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
3
Country of publishing house
SK - SLOVAKIA
Number of pages
18
Pages from-to
375-392
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85101093270