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Fundamental and Behavioural Drivers of Electricity Price Volatility

Author

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  • Karakatsani Nektaria V

    () (Regulatory Authority for Energy - Greece)

  • Bunn Derek W.

    () (London Business School)

Abstract

The stochastic properties of volatility in spot electricity prices are only partially understood and present substantial modelling challenges. This paper develops and applies three complementary modelling approaches in order to uncover its fundamental and behavioural drivers over time and across intra-day trading periods. First, intra-day prices are related to systematic components, including economic fundamentals, strategic and market design effects. Then, residual volatility is attributed to: i) regular, non-linear agent reactions to market fundamentals (covariates of heteroscedasticity), ii) the adaptation of price formation due to substantial agent learning (time-varying effects), and iii) the transient extreme pricing in periods of scarcity (regime-switching dynamics). We find that, i) GARCH effects diminish, when each of the above sources of volatility is accounted for, and ii) allowing for the time-varying responses of prices to fundamentals can yield more precise volatility estimates than an explicit GARCH specification.

Suggested Citation

  • Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
  • Handle: RePEc:bpj:sndecm:v:14:y:2010:i:4:n:4
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    References listed on IDEAS

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    2. Auer, Benjamin R., 2016. "How does Germany's green energy policy affect electricity market volatility? An application of conditional autoregressive range models," Energy Policy, Elsevier, vol. 98(C), pages 621-628.
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    5. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    6. Angelica Gianfreda & Derek Bunn, 2018. "A Stochastic Latent Moment Model for Electricity Price Formation," BEMPS - Bozen Economics & Management Paper Series BEMPS46, Faculty of Economics and Management at the Free University of Bozen.
    7. Joanna Janczura & Rafał Weron, 2013. "Goodness-of-fit testing for the marginal distribution of regime-switching models with an application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 239-270, July.
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    14. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
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    16. repec:eee:enepol:v:107:y:2017:i:c:p:323-336 is not listed on IDEAS

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