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

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  • Mohamed Arbi Madani
  • Zied Ftiti

Abstract

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.

Suggested Citation

  • Mohamed Arbi Madani & Zied Ftiti, 2024. "Understanding Intraday Oil Price Dynamics during the COVID-19 Pandemic: New Evidence from Oil and Stock Investor Sentiments," The Energy Journal, , vol. 45(3), pages 57-86, May.
    • Handle: RePEc:sae:enejou:v:45:y:2024:i:3:p:57-86
    DOI: 10.5547/01956574.45.3.mmad
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    References listed on IDEAS

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    1. Shiller, Robert J., 1981. "Alternative tests of rational expectations models : The case of the term structure," Journal of Econometrics, Elsevier, vol. 16(1), pages 71-87, May.
    2. Zhengke Ye, Chunyan Hu, Linjie He, Guangda Ouyang, and Fenghua Wen, 2020. "The Dynamic Time-frequency Relationship between International Oil Prices and Investor Sentiment in China: A Wavelet Coherence Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 251-270.
    3. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    4. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    5. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    6. Zhengke Ye & Chunyan Hu & Linjie He & Guangda Ouyang & Fenghua Wen, 2020. "The Dynamic Time-frequency Relationship between International Oil Prices and Investor Sentiment in China: A Wavelet Coherence Analysis," The Energy Journal, , vol. 41(5), pages 251-270, September.
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