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Trading Volumes in Intraday Markets - Theoretical Reference Model and Empirical Observations in Selected European Markets


  • Simon Hagemann
  • Christoph Weber

    (Chair for Management Sciences and Energy Economics, University of Duisburg-Essen)


This paper presents an analytical benchmark model for national intraday adjustment needs under consideration of fundamental drivers, market concentration and portfolio internal netting. The benchmark model is used to calculate the intraday market outcomes if (i) large and small players as well as transmissions operators trade and (ii) only large players and transmission system operators trade. Transaction costs may prevent the competitive fringe from intraday market participation. The theoretical national intraday trading volumes are calculated with market data from three European countries with auction-based intraday markets (Italy, Portugal, Spain) and four countries with continuous intraday markets (Denmark, France, Germany, United Kingdom). The model results allow two main conclusions: The competitive fringe is not trading on exchanges in Denmark and France but in Germany. The second conclusion is that the high observed volumes in auction-based intraday markets cannot be explained by fundamentals or the auction-based design but are mainly caused by market peculiarities. The same result applies to the UK.

Suggested Citation

  • Simon Hagemann & Christoph Weber, 2015. "Trading Volumes in Intraday Markets - Theoretical Reference Model and Empirical Observations in Selected European Markets," EWL Working Papers 1503, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Apr 2015.
  • Handle: RePEc:dui:wpaper:1503

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    Cited by:

    1. Hu, Jing & Harmsen, Robert & Crijns-Graus, Wina & Worrell, Ernst & van den Broek, Machteld, 2018. "Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2181-2195.
    2. Christopher Kath, 2019. "Modeling Intraday Markets under the New Advances of the Cross-Border Intraday Project (XBID): Evidence from the German Intraday Market," Energies, MDPI, Open Access Journal, vol. 12(22), pages 1-35, November.
    3. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2018. "Contract durations in the electricity market: Causal impact of 15min trading on the EPEX SPOT market," Energy Economics, Elsevier, vol. 69(C), pages 367-378.
    4. Knaut, Andreas & Paschmann, Martin, 2019. "Price volatility in commodity markets with restricted participation," Energy Economics, Elsevier, vol. 81(C), pages 37-51.
    5. Goutte, Stéphane & Vassilopoulos, Philippe, 2019. "The value of flexibility in power markets," Energy Policy, Elsevier, vol. 125(C), pages 347-357.
    6. Le, Hong Lam & Ilea, Valentin & Bovo, Cristian, 2019. "Integrated European intra-day electricity market: Rules, modeling and analysis," Applied Energy, Elsevier, vol. 238(C), pages 258-273.
    7. Brijs, Tom & De Jonghe, Cedric & Hobbs, Benjamin F. & Belmans, Ronnie, 2017. "Interactions between the design of short-term electricity markets in the CWE region and power system flexibility," Applied Energy, Elsevier, vol. 195(C), pages 36-51.
    8. Kuppelwieser, Thomas & Wozabal, David, 2021. "Liquidity costs on intraday power markets: Continuous trading versus auctions," Energy Policy, Elsevier, vol. 154(C).

    More about this item


    Renewables market integration; Liquidity modeling; continuous and auction-based intraday markets;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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