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Multinational Electricity Market Integration and Electricity Price Dynamics

Author

Listed:
  • Lundgren, Jens

    (Department of Economics)

  • Hellström, Jörgen

    (Department of Economics)

  • Rudholm, Niklas

    (The Swedish Retail Institute)

Abstract

The paper empirically explores the electricity price dynamics in the Nordic electricity market, Nord Pool. In particular, the focus is on determining what effect the multinational market integration, during the years 1996-2006, has had on the conditional mean electricity price, its volatility, the price jump-intensity and the price jump size. Empirically the study reveals that the conditional mean electricity price increased when Finland joined the Nord Pool exchange, and the price remained at the higher level when Denmark also joined. Turning to the price volatility, this increased when Finland joined, mainly due to an increase in jump size, and decreased when Denmark also joined Nord Pool. However, the price jump-intensity decreased both when Finland and Denmark joined the market. This means that a large electricity market integration in Scandinavia seems to reduce the probability of sudden price jumps. That is, the multinational electricity market integration in Scandinavia seems to have created a market that handles external shocks to supply and demand better than the separate national electricity markets previous did.

Suggested Citation

  • Lundgren, Jens & Hellström, Jörgen & Rudholm, Niklas, 2008. "Multinational Electricity Market Integration and Electricity Price Dynamics," HUI Working Papers 16, HUI Research.
    • Handle: RePEc:hhs:huiwps:0016
    as

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    References listed on IDEAS

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    1. Fred G M C Nieuwland & Willem F C Verschoor & Christian C P Wolff, 1990. "EMS Exchange Rates," CEPR Financial Markets Paper 0002, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 33 Great Sutton Street, London EC1V 0DX..
    2. Guthrie, Graeme & Videbeck, Steen, 2007. "Electricity spot price dynamics: Beyond financial models," Energy Policy, Elsevier, vol. 35(11), pages 5614-5621, November.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Nieuwland, Frederick G M C & Verschoor, Willem F C & Wolff, Christian C P, 1994. "Stochastic trends and jumps in EMS exchange rates," Journal of International Money and Finance, Elsevier, vol. 13(6), pages 699-727, December.
    5. Sanjiv R. Das, 1998. "Poisson-Guassian Processes and the Bond Markets," NBER Working Papers 6631, National Bureau of Economic Research, Inc.
    6. Bekaert, Geert & Gray, Stephen F., 1998. "Target zones and exchange rates:: An empirical investigation," Journal of International Economics, Elsevier, vol. 45(1), pages 1-35, June.
    7. repec:dau:papers:123456789/120 is not listed on IDEAS
    8. Tooraj Jamasb and Michael Pollitt, 2005. "Electricity Market Reform in the European Union: Review of Progress toward Liberalization & Integration," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 11-42.
    9. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    10. Amundsen, E.S. & Bergman, L. & Andersson, B., 1998. "Competition and Prices on the Emerging Nordic Electricity Market," Norway; Department of Economics, University of Bergen 0298, Department of Economics, University of Bergen.
    11. Amundsen, Eirik S. & Bergman, Lars, 2006. "Why has the Nordic electricity market worked so well?," Utilities Policy, Elsevier, vol. 14(3), pages 148-157, September.
    12. Philippe Jorion, 1988. "On Jump Processes in the Foreign Exchange and Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 427-445.
    13. Bystrom, Hans N. E., 2005. "Extreme value theory and extremely large electricity price changes," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 41-55.
    14. Amundsen, Eirik S. & Bergman, Lars & Andersson, Bo, 1998. "Competition and Prices on the Emerging Nordic Electricity Market," SSE/EFI Working Paper Series in Economics and Finance 217, Stockholm School of Economics.
    15. Neely, Christopher J., 1999. "Target zones and conditional volatility: The role of realignments," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 177-192, April.
    16. Mikael Bask & Jens Lundgren & Niklas Rudholm, 2009. "Market power in the expanding Nordic power market," Applied Economics, Taylor & Francis Journals, vol. 43(9), pages 1035-1043.
    17. Huisman, Ronald & Mahieu, Ronald, 2003. "Regime jumps in electricity prices," Energy Economics, Elsevier, vol. 25(5), pages 425-434, September.
    18. Hjalmarsson, Erik, 2000. "Nord Pool: A Power Market Without Market Power," Working Papers in Economics 28, University of Gothenburg, Department of Economics.
    19. Peter Fortune, 1999. "Are stock returns different over weekends? a jump diffusion analysis of the \"weekend effect\"," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 3-19.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Hellström, Jörgen & Soultanaeva, Albina, 2010. "The Impact of Stock Market Jumps on Time-Varying Return Correlations: Empirical Evidence from the Baltic Countries," Umeå Economic Studies 816, Umeå University, Department of Economics.
    2. Ochoa, Camila & Dyner, Isaac & Franco, Carlos J., 2013. "Simulating power integration in Latin America to assess challenges, opportunities, and threats," Energy Policy, Elsevier, vol. 61(C), pages 267-273.
    3. 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.
    4. Dahlke, Steven & Sterling, John & Meehan, Colin, 2019. "Policy and market drivers for advancing clean energy," OSF Preprints hsbry, Center for Open Science.
    5. Creti, Anna & Fumagalli, Eileen & Fumagalli, Elena, 2010. "Integration of electricity markets in Europe: Relevant issues for Italy," Energy Policy, Elsevier, vol. 38(11), pages 6966-6976, November.
    6. Hellström, Jörgen & Lundgren, Jens & Yu, Haishan, 2012. "Why do electricity prices jump? Empirical evidence from the Nordic electricity market," Energy Economics, Elsevier, vol. 34(6), pages 1774-1781.
    7. Erik Lindström & Fredric Regland, 2012. "Independent Spike Models: Estimation and Validation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(2), pages 180-196, May.
    8. Vesterberg, Mattias, 2017. "Power to the people: Electricity demand and household behavior," Umeå Economic Studies 942, Umeå University, Department of Economics.

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    More about this item

    Keywords

    Electricity price; market integration; jump risk; EGARCH; Exponential Autoregressive conditional Jump Intensity;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L69 - Industrial Organization - - Industry Studies: Manufacturing - - - Other

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