Forecasting Crude Oil Prices: a Deep Learning based Model

• DOI: 10.1016/j.procs.2017.11.373
• Publication Date: 2017-12-12T04:36:15Z
• Authors: Yanhui Chen; Kaijian He; Geoffrey K.F. Tso
• Keywords: West Texas Intermediate; Popularity

With the popularity of deep learning model in engineering fields, it has attracted significant research interests economic and finance fields. In this paper, we use to capture unknown complex nonlinear characteristics crude oil price movement. We further propose a new hybrid forecasting based on model. Using proposed model, major movement is analyzed modeled. The performance evaluated using data WTI markets. empirical results show that achieves improved accuracy.