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Volatility spillovers in Australian electricity markets

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  • Han, Lin
  • Kordzakhia, Nino
  • Trück, Stefan

Abstract

Electricity markets are significantly more volatile than other comparable financial or commodity markets. This study examines volatility spillover effects across different regions in the Australian National Electricity Market (NEM), aiming at providing a better understanding of the transmission of risks in a multi-regional context. Our analysis is based on the econometric framework originally proposed by Diebold and Yilmaz (2009, 2012). We conduct both a static and a dynamic assessment of aggregated spillover effects as well as their directional decomposition between the individual regions. We find that volatility spillovers are typically more pronounced between physically interconnected markets. We further relate the dynamic spillover patterns to specific short-term market events as well as long-term changes in the share of renewable energy, fuel mix, generation capacity, and the implementation of a Carbon Pricing Mechanism. Our findings provide important insights to market participants and regulators with regard to cross-regional trading of electricity, developing risk management strategies, and building additional interconnector infrastructure to facilitate regional market integration in the NEM.

Suggested Citation

  • Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320301225
    DOI: 10.1016/j.eneco.2020.104782
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    More about this item

    Keywords

    Electricity markets; Volatility modelling; Spillover effects; Directional spillovers; Time-varying effects;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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