TY - JOUR
T1 - Financial markets, energy shocks, and extreme volatility spillovers
AU - Boubaker, Sabri
AU - Karim, Sitara
AU - Naeem, Muhammad Abubakr
AU - Sharma, Gagan Deep
N1 - Publisher Copyright:
© 2023
PY - 2023/10
Y1 - 2023/10
N2 - In recent years, financial markets have experienced unprecedented uncertainties resulting from challenges such as the COVID-19 pandemic, energy shocks, and inflation mechanisms. This study investigates the interconnectedness of different financial markets (such as stocks, bonds, forex, oil, gold, and bitcoin) across extreme quantiles of volatility. To capture volatility spillovers, energy shocks, and inflation mechanisms, the study employs a novel technique called quantile-VAR, as traditional mean-based measures may not be suitable in extreme market conditions. The empirical findings indicate an increased density of networks in both the lower and upper tails of asset volatilities. Moreover, the results demonstrate an asymmetric impact of the COVID-19 outbreak, energy shocks, and inflation, with right-tail dependencies being more significant and common compared to left-tail dependencies. Additionally, the analysis of time-varying effects reveals significant shock events, ranging from the Shale Oil Crisis to the COVID-19 outbreak, including energy shocks stemming from the recent Russia-Ukraine war. These findings have important implications for investors, financial markets, fund and portfolio asset managers, and policymakers in managing risk, particularly during large shock events.
AB - In recent years, financial markets have experienced unprecedented uncertainties resulting from challenges such as the COVID-19 pandemic, energy shocks, and inflation mechanisms. This study investigates the interconnectedness of different financial markets (such as stocks, bonds, forex, oil, gold, and bitcoin) across extreme quantiles of volatility. To capture volatility spillovers, energy shocks, and inflation mechanisms, the study employs a novel technique called quantile-VAR, as traditional mean-based measures may not be suitable in extreme market conditions. The empirical findings indicate an increased density of networks in both the lower and upper tails of asset volatilities. Moreover, the results demonstrate an asymmetric impact of the COVID-19 outbreak, energy shocks, and inflation, with right-tail dependencies being more significant and common compared to left-tail dependencies. Additionally, the analysis of time-varying effects reveals significant shock events, ranging from the Shale Oil Crisis to the COVID-19 outbreak, including energy shocks stemming from the recent Russia-Ukraine war. These findings have important implications for investors, financial markets, fund and portfolio asset managers, and policymakers in managing risk, particularly during large shock events.
KW - Energy shocks
KW - Financial markets
KW - Inflation mechanisms
KW - Quantile VAR
KW - Volatility spillovers
UR - http://www.scopus.com/inward/record.url?scp=85172927288&partnerID=8YFLogxK
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U2 - 10.1016/j.eneco.2023.107031
DO - 10.1016/j.eneco.2023.107031
M3 - Article
AN - SCOPUS:85172927288
SN - 0140-9883
VL - 126
JO - Energy Economics
JF - Energy Economics
M1 - 107031
ER -