A hybrid Bayesian-network proposition for forecasting the crude oil price
Abstract This paper proposes a hybrid Bayesian Network (BN) method for short-term forecasting of crude oil prices. The method performed is a hybrid, based on both the aspects of classification of influencing factors as well as the regression of the out-of-sample values. For the sake of performance c...
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-07-01
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Series: | Financial Innovation |
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Online Access: | http://link.springer.com/article/10.1186/s40854-019-0144-2 |