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Market structure and the stability and volatility of electricity prices

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  • Bask, Mikael
  • Widerberg, Anna

Abstract

By using a novel approach in this paper, ([lambda],[sigma]2)-analysis, we have found that electricity prices most of the time have increased in stability and decreased in volatility when the Nordic power market has expanded and the degree of competition has increased. That electricity prices at Nord Pool have been generated by a stochastic dynamic system that most often has become more stable during the step-wise integration of the Nordic power market means that this market is less sensitive to shocks after the integration process than it was before this process. This is good news.

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  • Bask, Mikael & Widerberg, Anna, 2009. "Market structure and the stability and volatility of electricity prices," Energy Economics, Elsevier, vol. 31(2), pages 278-288, March.
    • Handle: RePEc:eee:eneeco:v:31:y:2009:i:2:p:278-288
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    Cited by:

    1. Panapakidis, Ioannis P. & Dagoumas, Athanasios S., 2016. "Day-ahead electricity price forecasting via the application of artificial neural network based models," Applied Energy, Elsevier, vol. 172(C), pages 132-151.
    2. Gianfreda, Angelica & Grossi, Luigi, 2012. "Forecasting Italian electricity zonal prices with exogenous variables," Energy Economics, Elsevier, vol. 34(6), pages 2228-2239.
    3. Bask, Mikael, 2010. "Measuring potential market risk," Journal of Financial Stability, Elsevier, vol. 6(3), pages 180-186, September.
    4. Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
    5. Werner, Dan, 2014. "Electricity Market Price Volatility: The Importance of Ramping Costs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169619, Agricultural and Applied Economics Association.
    6. George P. Papaioannou & Christos Dikaiakos & Christos Kaskouras & George Evangelidis & Fotios Georgakis, 2020. "Granger Causality Network Methods for Analyzing Cross-Border Electricity Trading between Greece, Italy, and Bulgaria," Energies, MDPI, vol. 13(4), pages 1-26, February.
    7. Mayer, Klaus & Trück, Stefan, 2018. "Electricity markets around the world," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 77-100.
    8. HFrance Krizanic & Zan Jan Oplotnik, 2013. "Market Changes, Business Cycles and Fluctuations in Electricity Prices - EU Evidence from Germany and Slovenia," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 118-126.
    9. Mikael Bask & Anna Widerberg, 2012. "Actual and potential market risks during the stock market turmoil 2007--2008," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 339-349, March.
    10. Sueyoshi, Toshiyuki, 2010. "An agent-based approach with collaboration among agents: Estimation of wholesale electricity price on PJM and artificial data generated by a mean reverting model," Energy Economics, Elsevier, vol. 32(5), pages 1025-1033, September.
    11. France Krizanic & Zan Jan Oplotnik, 2014. "Analysis of the Energy Market Operator Activity in Eight European Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 716-725.
    12. Alireza Pourdaryaei & Mohammad Mohammadi & Mazaher Karimi & Hazlie Mokhlis & Hazlee A. Illias & Seyed Hamidreza Aghay Kaboli & Shameem Ahmad, 2021. "Recent Development in Electricity Price Forecasting Based on Computational Intelligence Techniques in Deregulated Power Market," Energies, MDPI, vol. 14(19), pages 1-28, September.

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    More about this item

    Keywords

    Electricity prices GARCH models Lyapunov exponents Market structure Reconstructed dynamics Stability Volatility;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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