Forecasting commodity prices: empirical evidence using deep learning tools

DOI10.1007/s10479-022-05076-6zbMath1542.9137MaRDI QIDQ6589083

Sahbi Boubaker, Wael Louhichi, Zied Ftiti, Hachmi Ben Ameur, Kais Tissaoui

Publication date: 19 August 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

forecastingdeep learningcommodity marketsperformance metricsBloomberg commodity index

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Artificial neural networks and deep learning (68T07) Financial markets (91G15)

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