Tail risk connectedness in clean energy and oil financial market

Matteo Foglia, Eliana Angelini () and Toan Luu Duc Huynh ()
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Eliana Angelini: “G.d’Annunzio” University of Pescara
Toan Luu Duc Huynh: University of Southampton

Annals of Operations Research, 2024, vol. 334, issue 1, No 22, 575-599

Abstract: Abstract This research investigates the connectedness and the tail risk spillover between clean energy and oil firms, from January 2011 to October 2021. To this, we use the Tail-Event driven NETworks (TENET) risk model. This approach allows for a measurement of the dynamics of tail-risk spillover for each sector and firm. Hence, we can provide a detailed picture of the existing extreme relationships within these markets. We find that the total connection between the markets varies during the period analysed, showing how the uncertainty in oil price plays a critical role in the risk dynamics for oil companies. Also, we find that relationships between energy firms tend to be intrasectoral; that is, each sector receives (emits) risk from (to) itself. These results can have important practical implications for risk management and policymakers.

Keywords: Clean energy firms; Oil firms; Tail risk spillover; Interconnectedness; Spillover network (search for similar items in EconPapers)
JEL-codes: C58 G10 Q42 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-022-04745-w

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