基地研究员任晓航副教授合作论文“Seeing is believing: Forecasting crude oil price trend fromthe perspective of images”在重要学术期刊Journal of Forecasting发表。Journal of Forecasting主要发表理论、实践、计算和方法方面的论文，涉及所有领域的预测：统计学、经济学、心理学、系统工程和社会科学。

摘要：In this paper, we propose a novel imaging method to forecast the daily price data of West Texas Intermediate (WTI) crude oil futures. We use convolutional neural networks (CNNs) for future price trend prediction and obtain higher prediction accuracy than other benchmark forecasting methods. The results show that images can contain more nonlinear information, which is beneficial for energy price forecasting. Nonlinear factors also have a strong influence during drastic fluctuations in crude oil prices. In the robustness tests, we find that the image-based CNN is the most stable approach and can be applied in various futures forecasting scenarios. In the prediction of low-frequency models for high-frequency data, the CNN method still retains considerable predictive power, indicating the possibility of transfer learning of our novel approach. By unleashing the power of the picture, we open up a whole new perspective for forecasting future energy trends.

关键词：convolutional neural network, energy price forecasting, image classification, machine learning, oil price trend

链接：https://doi.org/10.1002/for.3149

作者简介

任晓航，中南大学商学院特聘副教授，Elsevier中国高被引学者，全球前2%顶尖科学家，主要从事能源金融、金融风险、金融计量等方面的研究，在Journal of the American Statistical Association、Transportation Research Part A、Energy Economics、Quantitative Finance、Review of Quantitative Finance and Accounting、International Review of Financial Analysis、Technological Forecasting and Social Change、Business Strategy and the Environment、Pacific-Basin Finance Journal、Applied Energy、Resources Policy、Renewable & Sustainable Energy Review、Energy、管理科学学报（英文版）、系统工程理论与实践、中国管理科学等国内外权威期刊上发表论文一百余篇，其中ESI热点文章/高被引论文三十余篇。担任Sustainable Communities(Taylor & Francis)领域主编，Humanities & Social Sciences Communications（Nature旗下唯一面向人文社会科学的子刊）等期刊副主编，Climate Change Economics, Economic Change and Restructuring等SSCI期刊客座主编。