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Volatility and Risk in the Energy Market: A Trade Network Approach

Author

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  • Germán G. Creamer

    (School of Business, Stevens Institute of Technology, Hoboken, NJ 07030, USA)

  • Tal Ben-Zvi

    (School of Business, Stevens Institute of Technology, Hoboken, NJ 07030, USA)

Abstract

This paper evaluates the effect of energy trade networks on the price volatility of coal, oil, natural gas, and electricity. This research conducts a longitudinal analysis using a time series of static coal trade networks to generate a dynamic trade network. It uses the component causality index as a leading indicator of the price volatility of the energy market. This research finds out that the component causality index, based on degree centrality, anticipates or moves together with coal volatility and, to a lesser degree, with natural gas and electricity volatility for the period 1998–2014. The proposed index could be integrated into a risk management system for investors and regulators. The broad impact of this research lies in the understanding of mechanisms of the instability and risk of the energy sector as a result of a complex interaction of the network of producers and traders.

Suggested Citation

  • Germán G. Creamer & Tal Ben-Zvi, 2021. "Volatility and Risk in the Energy Market: A Trade Network Approach," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10199-:d:634210
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