Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework
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- Radu Valentin & Neacsu Andrei-Costin & Neacsu George-Alexandru & Bichir Antonela & Tabirca Alina-Iuliana & Croitoru Ionut-Marius & Mihai Danut-Georgian, 2024. "Economic Impacts Of Energy Price Shocks In The Eu Driven By Crises," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 127-140, June.
- Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
- Lu-Tao Zhao & Guan-Rong Zeng & Ling-Yun He & Ya Meng, 2020. "Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1151-1169, April.
- Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
- Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
- Kliber, Agata & Łęt, Blanka, 2022. "Degree of connectedness and the transfer of news across the oil market and the European stocks," Energy, Elsevier, vol. 239(PC).
- Drachal, Krzysztof, 2021. "Forecasting crude oil real prices with averaging time-varying VAR models," Resources Policy, Elsevier, vol. 74(C).
- Shian-Chang Huang & Cheng-Feng Wu, 2018. "Energy Commodity Price Forecasting with Deep Multiple Kernel Learning," Energies, MDPI, vol. 11(11), pages 1-16, November.
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Keywords
Bayesian forecasting; dynamic model averaging; DMA; forecasting oil price; oil price; predicting oil price; spot oil price; time-varying parameters;All these keywords.
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