Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks
抄録
This paper proposes a novel approach, based on convolutional neural network (CNN) models, that forecasts the short-term crude oil futures prices with good performance. In our study, we confirm that artificial intelligence (AI)-based deep-learning approaches can provide more accurate forecasts of short-term oil prices than those of the benchmark Naive Forecast (NF) model. We also provide strong evidence that CNN models with matrix inputs are better at short-term prediction than neural network (NN) models with single-vector input, which indicates that strengthening the dependence of inputs and providing more useful information can improve short-term forecasting performance.
収録刊行物
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- Journal of Risk and Financial Management
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Journal of Risk and Financial Management 12 (1), 9-9, 2019-03
MDPI
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詳細情報 詳細情報について
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- CRID
- 1050012570392968960
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- NII論文ID
- 120006624225
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- ISSN
- 19118074
- 19118066
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- HANDLE
- 20.500.14094/90005926
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
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- CiNii Articles
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