How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores-Reference-Cited by-同舟云学术

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How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores

Published:2024-05 Issue: Volume:133 Page:107466
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Haas Christian^ORCID,Budin Constantin,d’Arcy Anne

Publisher

Elsevier BV

Reference62 articles.

1. Deep learning for stock prediction using numerical and textual information;Akita,2016

2. What do we learn from the price of crude oil futures?;Alquist;J. Appl. Econometrics,2010

3. Forecasting the price of oil;Alquist,2013

4. Predicting consumer sentiments from online text;Bai;Decis. Support Syst.,2011

5. Predicting amazon spot prices with LSTM networks;Baughman,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying predictive knowledge: Wavelet energy α-divergence measure for time series uncertainty reduction;Chaos, Solitons & Fractals;2024-11

2. Do OPEC+ policies help predict the oil price: A novel news-based predictor;Heliyon;2024-07

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