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

IF 13.6 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2024-10-18 DOI:10.1016/j.eneco.2024.107967
Zhiwei Xu , Shiqi Gan , Xia Hua , Yujie Xiong
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Abstract

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.
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官方媒体的情绪能否预测中国原油期货的回归波动?
本研究探讨了中国官方媒体对原油的情绪是否会影响中国原油期货(SC)的价格波动。我们通过转换器双向编码器表征(BERT)进行文本分析,量化了中国主要官方媒体发表的石油相关文章的情感。在样本内和样本外分析的基础上,我们的主要发现有力地揭示了这种情绪可以显著预测 SC 的单日前盘中收益波动。此外,我们将分析扩展到不同的时间跨度(即一周前和一个月前),发现官方媒体情绪也具有突出的预测能力。我们还发现,官方媒体情绪未能预测 WTI 石油期货的价格波动,这意味着官方媒体情绪包含了一些独特的中国信息。总之,我们的研究为预测中国原油期货收益波动性的现有文献做出了贡献,并为一种重要但未被充分探索的情绪(即官方媒体情绪)提供了新的见解。
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来源期刊
Energy Economics
Energy Economics ECONOMICS-
CiteScore
18.60
自引率
12.50%
发文量
524
期刊介绍: Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.
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