Understanding Intraday Oil Price Dynamics during the COVID-19 Pandemic: New Evidence from Oil and Stock Investor Sentiments

被引:0
|
作者
Madani, Mohamed Arbi [1 ]
Ftiti, Zied [2 ,3 ]
机构
[1] INSEEC Grande Ecole, Omnes Educ, Paris, France
[2] EDC Paris Business Sch, OCRE Res Lab, Res, Paris, France
[3] EDC PBS 74-80 Rue Roque de Fillol, F-92807 Puteaux La Defense, France
来源
ENERGY JOURNAL | 2024年 / 45卷 / 03期
关键词
Social media; News; Nonlinear; Long memory; Causality; HAR model; Forecast; EMPIRICAL MODE DECOMPOSITION; TIME; PERFORMANCE; VOLATILITY; RETURNS; MARKETS; IMPACT; MONEY; VMD;
D O I
10.5547/01956574.45.3.mmad
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study employed intraday stock market and oil investor sentiment data related to news and social media (i.e., the Thomson Reuters MarketPsych Indices [TRMI] sentiment index) to gauge investors' interest in the West Texas Intermediate (WTI) crude oil futures market during the recent health crisis. We proposed an original nonlinear empirical framework by considering oil price dynamics' complexity and its potential interaction with investor sentiment. The analysis revealed three noteworthy findings. First, we observed evidence of nonlinearity in the relationship between excess returns on WTI crude oil futures and investor sentiment data. Second, the causality direction moved only from oil and stock market investor sentiment to oil returns. Third, the impacts of oil and stock market sentiment data on crude oil returns (i.e., volatility) were always negative. Furthermore, sentiment data related to social media showed a more pronounced cross-correlation than that of news.
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页码:57 / 86
页数:30
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