TY - JOUR
T1 - The international oil price in the context of the COVID-19 pandemic outbreak
T2 - evidence from BRICS and US
AU - Jiang, Yong
AU - Narayan, Seema
AU - Ren, Yi-Shuai
AU - Ma, Chao-Qun
N1 - Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - This study applies a quantile cointegration model to investigate if COVID-19 outbreaks in the BRICS (China, India, Russia, Brazil, and South Africa) and the United States have a long-run equilibrium relationship with the dynamics of oil prices. (1) The standard cointegration models are unstable, indicating the possibility of structural breaks and nonlinearity in the relationship between the COVID-19 pandemic and oil prices; (2) The results of the quantile cointegration model suggest the COVID-19 pandemic and oil prices are nearly cointegrated over whole quantiles of the oil price distribution for the United States, Russia, South Africa, and Brazil. However, the long-run equilibrium relationship between the COVID-19 pandemic and oil prices in China is more likely to occur in the lower quantiles of the oil price distribution; (3) For India, the equilibrium link exists only across the two higher quantiles (0.7 and 0.8 quantiles) of the oil price distribution. Finally, our research has significant policy implications for the governments of the world’s largest countries that are concerned about the impact of the COVID-19 pandemic outbreak on oil prices.
AB - This study applies a quantile cointegration model to investigate if COVID-19 outbreaks in the BRICS (China, India, Russia, Brazil, and South Africa) and the United States have a long-run equilibrium relationship with the dynamics of oil prices. (1) The standard cointegration models are unstable, indicating the possibility of structural breaks and nonlinearity in the relationship between the COVID-19 pandemic and oil prices; (2) The results of the quantile cointegration model suggest the COVID-19 pandemic and oil prices are nearly cointegrated over whole quantiles of the oil price distribution for the United States, Russia, South Africa, and Brazil. However, the long-run equilibrium relationship between the COVID-19 pandemic and oil prices in China is more likely to occur in the lower quantiles of the oil price distribution; (3) For India, the equilibrium link exists only across the two higher quantiles (0.7 and 0.8 quantiles) of the oil price distribution. Finally, our research has significant policy implications for the governments of the world’s largest countries that are concerned about the impact of the COVID-19 pandemic outbreak on oil prices.
KW - BRICS
KW - C22
KW - COVID-19
KW - oil prices
KW - Q41
KW - Q43
KW - quantile cointegration model
KW - US
UR - http://www.scopus.com/inward/record.url?scp=85173944120&partnerID=8YFLogxK
U2 - 10.1080/1540496X.2023.2260543
DO - 10.1080/1540496X.2023.2260543
M3 - Article
AN - SCOPUS:85173944120
SN - 1540-496X
VL - 60
SP - 983
EP - 1001
JO - Emerging Markets Finance and Trade
JF - Emerging Markets Finance and Trade
IS - 5
ER -