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Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks

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  • Wang, Cheng
  • Bouri, Elie
  • Xu, Yahua
  • Zhang, Dingsheng

Abstract

This study examines the possible impacts of various market shocks, covering oil-related regular news releases and extreme shocks on the intraday and overnight variations in tail risk and intraday return predictability in the crude oil market using high-frequency United States Oil Fund (USO) data from April 10, 2008, to May 10, 2022. First, we find that both regular news and extreme shocks significantly impact the distribution of tail risk during daytime trading and overnight non-trading sessions, with the latter showing stronger effects. Second, extreme shocks have a greater impact on intraday return predictability, with most market shocks obliterating the predictive power of first half-hour returns. Third, the predictability of the first half-hour returns comes primarily from the market opening session from 9:30 am to 10:00 am, and overnight returns lose their predictability. These results have important implications for both market participants and policymakers.

Suggested Citation

  • Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    • Handle: RePEc:eee:eneeco:v:127:y:2023:i:pb:s0140988323006199
    DOI: 10.1016/j.eneco.2023.107121
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    Keywords

    Overnight and intraday returns; Tail risks; Regular news releases; Extreme shocks; Intraday return predictability;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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