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Volatility spillovers among oil and stock markets in the US and Saudi Arabia

Author

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  • Marinela Adriana Finta
  • Bart Frijns
  • Alireza Tourani-Rad

Abstract

In this article, we use high frequency data and an identification via changes in volatility approach to assess the volatility spillovers among oil and the US and Saudi Arabian stock markets. We document the existence of asymmetry in contemporaneous spillover effects. Particularly, during the times when oil’s trading hours overlap with the US and Saudi Arabian stock markets, the volatility spillover from oil to the stock markets is higher than the other way around. We highlight the importance of taking into consideration the information present during continuous trading hours of oil, especially during simultaneous trading hours with the stock markets. We compare our findings based on our structural VAR with those of a traditional reduced-form VAR, and observe that contemporaneous and intraday effects are necessary to be taken into account since the indirect transmission of volatility occurs through them.

Suggested Citation

  • Marinela Adriana Finta & Bart Frijns & Alireza Tourani-Rad, 2019. "Volatility spillovers among oil and stock markets in the US and Saudi Arabia," Applied Economics, Taylor & Francis Journals, vol. 51(4), pages 329-345, January.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:4:p:329-345
    DOI: 10.1080/00036846.2018.1494811
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    Cited by:

    1. Selmi, Refk & Bouoiyour, Jamal, 2020. "Arab geopolitics in turmoil: Implications of Qatar-Gulf crisis for business," International Economics, Elsevier, vol. 161(C), pages 100-119.
    2. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    3. Ngo Thai Hung, 2021. "Financial connectedness of GCC emerging stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 753-773, December.
    4. Ahmed A. Elamer & Bassam A. Elbialy & Kholoud A. Alsaab & Mohamed A. Khashan, 2022. "The Impact of COVID-19 on the Relationship between Non-Renewable Energy and Saudi Stock Market Sectors Using Wavelet Coherence Approach and Neural Networks," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    5. Lin, Ling & Zhou, Zhongbao & Jiang, Yong & Ou, Yangchen, 2021. "Risk spillovers and hedge strategies between global crude oil markets and stock markets: Do regime switching processes combining long memory and asymmetry matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    6. Fu Qiao & Yan Yan, 2020. "How does stock market reflect the change in economic demand? A study on the industry-specific volatility spillover networks of China's stock market during the outbreak of COVID-19," Papers 2007.07487, arXiv.org.
    7. Abdou, Hussein A. & Elamer, Ahmed A. & Abedin, Mohammad Zoynul & Ibrahim, Bassam A., 2024. "The impact of oil and global markets on Saudi stock market predictability: A machine learning approach," Energy Economics, Elsevier, vol. 132(C).
    8. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).

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