Tail risk connectedness in the Australian National Electricity Markets: The impact of rare events

The tail risks can exhibit different and important features than average measures of risk in interconnected electricity markets. This paper examines the interconnectedness of tail risks within the regionally interconnected Australian National Electricity Market. We use the Conditional Autoregressive Value-at-Risk (CAViaR) and time-varying parameter vector autoregression (TVP-VAR) connectedness approach. Analysing historical data between 01 January 2006 and 04 February 2024. The results show significant levels of connectedness for both negative and positive tail risks, highlighting the dynamic and interdependent nature of these markets. Notably, we identify asymmetries in the transmission of tail risks and their key drivers, including oil market volatility and global geopolitical risks. Our findings show that some regions play a pivotal role in the risk dynamics across the regions of the network and the influence of energy source diversity on risk profiles. The study underscores the complexity of managing the expected increase in tail risks in interconnected electricity markets, emphasizing the need for adaptive, forward-thinking strategies tailored to evolving global and local conditions. • Tail risk spillover among Australian regional electricity markets is significant and asymmetrical. • South Australia exhibits the highest levels of both positive and negative tail risk, while New South Wales shows the lowest levels. • Victoria and South Australia are key net transmitters of tail risk; New South Wales and Tasmania are primary absorbers. • Tail risk spillover effects fluctuate greatly over time. • Global uncertainties and the Australian term spread significantly impact tail risk connectedness among regional electricity markets.

Authors

Institutions

Publication Details

Journal
Energy Economics
Published
2024-12-19
DOI
https://doi.org/10.1016/j.eneco.2024.108123
Citations
3
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tail risk connectedness in the Australian National Electricity Markets: The impact of rare events

Tooraj Jamasb, Hung Xuan, Son Duy Pham, Rabindra Nepal
3 citations
Energy Economics
Market Dynamics and Volatility
3.39
article

Tail risk connectedness in the Australian National Electricity Markets: The impact of rare events

Tooraj Jamasb, Hung Xuan, Son Duy Pham, Rabindra Nepal
article en
3 citations

Abstract

The tail risks can exhibit different and important features than average measures of risk in interconnected electricity markets. This paper examines the interconnectedness of tail risks within the regionally interconnected Australian National Electricity Market. We use the Conditional Autoregressive Value-at-Risk (CAViaR) and time-varying parameter vector autoregression (TVP-VAR) connectedness approach. Analysing historical data between 01 January 2006 and 04 February 2024. The results show significant levels of connectedness for both negative and positive tail risks, highlighting the dynamic and interdependent nature of these markets. Notably, we identify asymmetries in the transmission of tail risks and their key drivers, including oil market volatility and global geopolitical risks. Our findings show that some regions play a pivotal role in the risk dynamics across the regions of the network and the influence of energy source diversity on risk profiles. The study underscores the complexity of managing the expected increase in tail risks in interconnected electricity markets, emphasizing the need for adaptive, forward-thinking strategies tailored to evolving global and local conditions. • Tail risk spillover among Australian regional electricity markets is significant and asymmetrical. • South Australia exhibits the highest levels of both positive and negative tail risk, while New South Wales shows the lowest levels. • Victoria and South Australia are key net transmitters of tail risk; New South Wales and Tasmania are primary absorbers. • Tail risk spillover effects fluctuate greatly over time. • Global uncertainties and the Australian term spread significantly impact tail risk connectedness among regional electricity markets.

Energy EconomicsVol. 141
Vietnam National University, Hanoi (VN), Copenhagen Business School (DK), University of Aberdeen (GB), University of Wollongong (AU), Massey University (NZ)
Copenhagen Business School
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.