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Tail risk spillovers between Shanghai oil and other markets

Author

Listed:
  • Naeem, Muhammad Abubakr
  • Gul, Raazia
  • Shafiullah, Muhammad
  • Karim, Sitara
  • Lucey, Brian M.

Abstract

This paper uses daily returns data from January 2011 to December 2022 to analyse the tail risk spillovers between Shanghai oil and a sample of stock and commodities markets. The computed CAViaR measures each market's tail risk and analyses the connectedness network using the TVP-VAR method. The tail risk spillover network estimates reveal clustering—as stocks and commodities within the same category are vigorously connected. Shanghai oil's links to the global markets remain limited, but it is a net risk receiver. As such, Shanghai oil is a lesser player in the global financial system than WTI or Brent. Nevertheless, (tail risk) connectedness between Shanghai oil and sample markets soars during crises such as the shale oil revolution, the COVID-19 pandemic, and the Russia-Ukraine war. Among the crises, COVID-19 has had the most potent effect on our markets—with connectedness indicators exceeding 70%. The spillover size and shape differ considerably by crisis events. Thus, Shanghai oil futures may be viewed as a novel financial market that permits both domestic and international investors to access the Chinese crude oil market and diversify their investment risk.

Suggested Citation

  • Naeem, Muhammad Abubakr & Gul, Raazia & Shafiullah, Muhammad & Karim, Sitara & Lucey, Brian M., 2024. "Tail risk spillovers between Shanghai oil and other markets," Energy Economics, Elsevier, vol. 130(C).
  • Handle: RePEc:eee:eneeco:v:130:y:2024:i:c:s0140988323006801
    DOI: 10.1016/j.eneco.2023.107182
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    More about this item

    Keywords

    CAViaR; Commodities; Shanghai oil; Tail risk spillovers; TVP-VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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