---
title: Oil Price Forecasting: Machine Learning vs Deep Learning
url: https://www.ml-quant.com/papers/repec/spr-annopr-v-345-y-2025-i-2-d-10-1007-s10479-023-05400-8/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:annopr:v:345:y:2025:i:2:d:10.1007_s10479-023-05400-8
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10479-023-05400-8%3Bh%3Drepec%3Aspr%3Aannopr%3Av%3A345%3Ay%3A2025%3Ai%3A2%3Ad%3A10.1007_s10479-023-05400-8
featured: 2025-03-05
citations: unknown
topic: Econometrics & Forecasting
---


# Oil Price Forecasting: Machine Learning vs Deep Learning

Machine Learning vs Deep Learning: The study reveals that deep learning methods, particularly the long short-term memory approach, are more effective than machine learning methods like the support vector machine in predicting oil prices, especially during crises.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10479-023-05400-8%3Bh%3Drepec%3Aspr%3Aannopr%3Av%3A345%3Ay%3A2025%3Ai%3A2%3Ad%3A10.1007_s10479-023-05400-8
- Identifier: RePEc:spr:annopr:v:345:y:2025:i:2:d:10.1007_s10479-023-05400-8
- Released: 2025-03-05
- First featured: Quant Letter No. 87 (2025-03-05): https://www.ml-quant.com/issues/2025-03-05/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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