2021
DOI: 10.32479/ijeep.10853
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Multi-Source Model of Heterogeneous Data Analysis for Oil Price Forecasting

Abstract: This article sheds light on the question of whether it is possible to create fairly accurate forecasts of real oil prices. For this purpose, a multi-level machine learning model has been created to analyze several sources of heterogeneous data to predict future prices. The article uses different types of data: market condition data, titles, and transaction data. Then, they have been processed to be able to load them into the model. The validation of the regression neural network results showed that the model i… Show more

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Cited by 10 publications
(1 citation statement)
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“…Furthermore, forecasting the return on gold price for shorter and longer periods can provide valuable information for investors, enabling them to devise effective buying and selling strategies [14][15][16][17][18][19]. Additionally, accurate forecasting of gold prices can benefit commodity markets and the global economy.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, forecasting the return on gold price for shorter and longer periods can provide valuable information for investors, enabling them to devise effective buying and selling strategies [14][15][16][17][18][19]. Additionally, accurate forecasting of gold prices can benefit commodity markets and the global economy.…”
Section: Introductionmentioning
confidence: 99%