Measuring extreme risk dependence between the oil and gas markets

Hachmi Ben Ameur (), Zied Ftiti (), Fredj Jawadi and Wael Louhichi
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Hachmi Ben Ameur: INSEEC Grande Ecole, INSEEC U
Wael Louhichi: ESSCA School of Management

Annals of Operations Research, 2022, vol. 313, issue 2, No 8, 755-772

Abstract: Abstract This study aims to measure the risk dependence between the two most important energy markets, oil and gas, to analyze their risk spillovers. To this end, we apply different extreme risk measures (the value at risk, conditional value at risk, delta conditional value at risk, and copula) to high-frequency energy data to capture the intraday dynamic dependence between oil and gas prices (using, in particular, a 5-min intraday sample data from November 2014 to October 2017). Our analysis shows two interesting findings. First, while we highlight an extreme risk dependence between oil and gas markets, the risk spillover from the oil to the gas market is higher than that from the gas to the oil market. Second, the upward and downward risk spillovers exhibit asymmetry, as extreme negative shocks produce a stronger spillover effect than do extreme positive shocks. The exploration of these systemic risk forms provides significant insights for policymakers and investors in terms of risk management and portfolio diversification.

Keywords: Systemic risk; VaR; CoVar; Dynamic copula; Intraday data (search for similar items in EconPapers)
JEL-codes: C22 G1 Q4 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10479-020-03796-1

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