Can the sentiment of the official media predict the return volatility of the Chinese crude oil futures?

被引:0
|
作者
Xu, Zhiwei [1 ]
Gan, Shiqi [2 ]
Hua, Xia [2 ]
Xiong, Yujie [2 ]
机构
[1] Southwestern Univ Finance & Econ, 55 Guanghuacun St, Chengdu, Sichuan, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Finance, 555 Liutai Ave, Chengdu, Sichuan, Peoples R China
关键词
Official media sentiment; Chinese crude oil futures; Intraday return volatility; In-and out-of-sample analysis; BERT; HIGH-FREQUENCY DATA; INVESTOR SENTIMENT; STOCK RETURNS; REALIZED VOLATILITY; INFORMATION-CONTENT; NEWS SENTIMENT; ANYTHING BEAT; LONG-MEMORY; FORECAST; MODELS;
D O I
10.1016/j.eneco.2024.107967
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates whether the sentiment of Chinese official media towards crude oil influences price volatility of the Chinese crude oil futures (SC). By leveraging textual analysis through Bidirectional Encoder Representations from Transformers (BERT), we quantify the sentiment of oil-related articles published by the primary official media in China. Our main finding, building on both in-sample and out-of-sample analyses, robustly reveals that this sentiment significantly forecasts the one-day-ahead intraday return volatility of SC. Moreover, we extend the analysis to different time horizons (i.e., one-week and one-month-ahead) and find the prominent forecasting power of the official media sentiment as well. We also find that the official media sentiment fails to forecast the price volatility of WTI oil futures, implying that the official media sentiment contains some unique Chinese information. Overall, our study contributes to the existing literature on predicting the return volatility of the Chinese crude oil futures, and offers fresh insights into an essential yet underexplored sentiment, i.e., official media sentiment.
引用
收藏
页数:21
相关论文
共 50 条
  • [11] Forecasting realized volatility of crude oil futures with equity market uncertainty
    Wen, Fenghua
    Zhao, Yupei
    Zhang, Minzhi
    Hu, Chunyan
    APPLIED ECONOMICS, 2019, 51 (59) : 6411 - 6427
  • [12] Forecasting the volatility of crude oil futures: New evidence from jump-induced volatility
    Dutta, Anupam
    Bouri, Elie
    ENERGY STRATEGY REVIEWS, 2024, 56
  • [13] On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks
    Luo, Jiawen
    Ji, Qiang
    Klein, Tony
    Todorova, Neda
    Zhang, Dayong
    ENERGY ECONOMICS, 2020, 89
  • [14] Forecasting realized volatility of crude oil futures prices based on machine learning
    Luo, Jiawen
    Klein, Tony
    Walther, Thomas
    Ji, Qiang
    JOURNAL OF FORECASTING, 2024, 43 (05) : 1422 - 1446
  • [15] Predicting the volatility of crude oil futures: The roles of leverage effects and structural changes
    Gong, Xu
    Lin, Boqiang
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2022, 27 (01) : 610 - 640
  • [16] Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?
    Yan, Xiang
    Bai, Jiancheng
    Li, Xiafei
    Chen, Zhonglu
    RESOURCES POLICY, 2022, 75
  • [17] Can the Baidu Index predict realized volatility in the Chinese stock market?
    Zhang, Wei
    Yan, Kai
    Shen, Dehua
    FINANCIAL INNOVATION, 2021, 7 (01)
  • [18] Crude oil price volatility and equity return predictability: A comparative out-of-sample study
    Nonejad, Nima
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 71
  • [19] Forecasting realized volatility of Chinese crude oil futures with a new secondary decomposition ensemble learning approach
    Jiang, Wei
    Tang, Wanqing
    Liu, Xiao
    FINANCE RESEARCH LETTERS, 2023, 57