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Oil price volatility and stock returns: Evidence from three oil‐price wars

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  • Mushtaq Hussain Khan
  • Junaid Ahmed
  • Mazhar Mughal
  • Imtiaz Hussain Khan

Abstract

This study examines how crude oil price volatility affected the stock returns of major global oil and gas corporations during three major oil‐price wars that took place between October 1991 and June 2020. Episodes considered include the 1998 Saudi Arabia – Venezuela war, the 2014–2016 conflict and the 2020 Saudi Arabia – Russia war in a time of unprecedented crisis caused by the COVID‐19 pandemic. The persistence of volatility in oil prices during times of specific oil‐price wars is captured through generalized autoregressive conditional heteroscedasticity (GARCH) model while the leverage effect is tested using the threshold generalized autoregressive conditional heteroscedasticity (T‐GARCH) model. Moreover, a vector autoregressive (VAR) model is employed to consider the relationship between oil price shocks and stock returns of oil and gas corporations. Our findings reveal a significant evidence for volatility persistence and leverage effects in oil price during the three oil‐price wars. These findings are consistent for WTI as well as Brent crude oil specifications. Though the persistence of volatility is similar to that of the previous two oil‐price wars, the 2020 Saudi Arabia – Russia oil‐price war has higher volatility spikes than the previous two wars. Besides, oil price shocks have a significant and positive effect on the returns of oil and gas companies. These findings provide investors information on how volatility in global oil prices is also sensitive to irregular events such as price wars between oil producers. This information can be important for economic agents contemplating shorter hedges by managing risks during times of high volatility.

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  • Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal & Imtiaz Hussain Khan, 2023. "Oil price volatility and stock returns: Evidence from three oil‐price wars," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3162-3182, July.
  • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:3:p:3162-3182
    DOI: 10.1002/ijfe.2588
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    • 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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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