Publisher
Springer Nature Switzerland
Reference13 articles.
1. Li, X., Shang, W., Wang, S.: Text-based crude oil price forecasting, a deep learning approach. Int. J. Forecast. 35, 1548–1560 (2019)
2. Chen, Y., He, K., Tso, G.K.F.: Forecasting crude oil prices: a deep learning based on model. Procedia Comput. Sci. 122, 588–595 (2017)
3. Chen, Y., Zou, Y., Zhou, Y., Zhang, C.: Multi-step-ahead crude oil price forecasting based on grey wave forecasting method. Procedia Comput. Sci. 91, 1050–1056 (2016)
4. Gumus, M., Kiran, M.S.: Crude oil price forecasting using XGBoost. In: International Conference on Computer Science and Engineering, pp.1100–1103. IEEE, Antalya (2017)
5. Luo, Z., Cai, X., Tanaka, K., Takiguchi, T., Kinkyo, T., Hamori, S.: Can we forecast daily oil futures prices? Experimental evidence from convolutional neural networks. Risk Finan. Manage. 2(12), 519–530 (2019)