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Risk network of global energy markets
Linköping University, Department of Management and Engineering, Economics. Linköping University, Faculty of Arts and Sciences.
Trinity Coll Dublin, Ireland.
Norwegian Univ Life Sci, Norway.
Trinity Coll Dublin, Ireland; Vilnius Univ, Lithuania.
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2023 (English)In: Energy Economics, ISSN 0140-9883, E-ISSN 1873-6181, Vol. 125, article id 106882Article in journal (Refereed) Published
Abstract [en]

This study evaluates extreme uncertainty connectedness among top global energy firms. The sample comprises of 68 firms from four energy-related subsectors (oil & gas, oil & gas related equipment and services, multiline utilities, and renewable energy). To provide an overview of tail connectedness, we construct a high-dimensional network between firms by utilizing a generalized error decomposition and a sparse vector autoregression framework with a latent common factor. Our empirical results indicate that between the four subsectors, the renewable energy subsector exhibits the highest uncertainty transmission to other underlying subsectors, primarily credited to an increased within-subsector idiosyncratic uncertainty before the COVID-19 crisis. After the burst of the COVID-19 pandemic, due to the higher connectedness, the role of the renewable energy companies in the spillover network is further intensified. The uncertainty connectedness demonstrates a time-varying trait. While the oil and gas subsector exhibits greater long-term linkages with the oil and gas related equipment and services subsector, the long-run dynamics exhibit a lower interconnectedness as compared to the short-run. Finally, there is an increased connectedness among companies operating in the same subsector with similar size, attributing to similarity and competition.

Place, publisher, year, edition, pages
ELSEVIER , 2023. Vol. 125, article id 106882
Keywords [en]
Energy companies; Systemic risk; Risk spillover; High-dimensional network
National Category
Business Administration
Identifiers
URN: urn:nbn:se:liu:diva-197867DOI: 10.1016/j.eneco.2023.106882ISI: 001047997900001OAI: oai:DiVA.org:liu-197867DiVA, id: diva2:1798208
Note

Funding Agencies|National Science Centre, Poland [UMO-2014/13/B/HS4/01556]

Available from: 2023-09-18 Created: 2023-09-18 Last updated: 2024-02-15

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Uddin, Gazi Salah
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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