IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v81y2019icp37-51.html
   My bibliography  Save this article

Price volatility in commodity markets with restricted participation

Author

Listed:
  • Knaut, Andreas
  • Paschmann, Martin

Abstract

In commodity markets, price volatility may rise significantly if the product granularity increases. To gain insights into the underlying drivers, we analyze price volatility based on the example of German electricity markets. We develop a theoretical model to reproduce the price formation in the day-ahead and intraday auction which are sequential short-term electricity markets with 60-minute and 15-minute products. As cross-border trade is allowed in the day-ahead but not in the intraday auction, the model accounts for the impact of restricted market participation. The theoretical model is then transferred into an empirical analysis to first validate the modeling approach and second to comparatively assess the impact of increasing product granularity and restricted market participation. The empirical results indicate that the disproportional rise in quarter-hourly price volatility is mainly triggered by limited market participation and not only by the high volatility of renewable supply and demand. Since restricted market participation refers to a lack of market coupling, we derive a proxy for efficiency losses ranging from EUR 55 million to EUR 108 million that may be reduced if markets are coupled.

Suggested Citation

  • Knaut, Andreas & Paschmann, Martin, 2019. "Price volatility in commodity markets with restricted participation," Energy Economics, Elsevier, vol. 81(C), pages 37-51.
    • Handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:37-51
    DOI: 10.1016/j.eneco.2019.03.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988319300830
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2019.03.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Simon Hagemann & Christoph Weber, 2013. "An Empirical Analysis of Liquidity and its Determinants in The German Intraday Market for Electricity," EWL Working Papers 1317, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2013.
    2. Knaut, Andreas & Paschmann, Martin, 2017. "Decoding Restricted Participation in Sequential Electricity Markets," EWI Working Papers 2017-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 31 Aug 2017.
    3. Bernhardt, Dan & Scoones, David, 1994. "A Note on Sequential Auctions," American Economic Review, American Economic Association, vol. 84(3), pages 653-657, June.
    4. Hendrik Bessembinder & Michael L. Lemmon, 2002. "Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets," Journal of Finance, American Finance Association, vol. 57(3), pages 1347-1382, June.
    5. Kiesel, Rüdiger & Paraschiv, Florentina, 2017. "Econometric analysis of 15-minute intraday electricity prices," Energy Economics, Elsevier, vol. 64(C), pages 77-90.
    6. Karsten Neuhoff & Nolan Ritter & Aymen SalahAbou-El-Enien & Philippe Vassilopoulos, 2016. "Intraday Markets for Power: Discretizing the Continuous Trading?," Working Papers EPRG 1609, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    8. Frieder Borggrefe & Karsten Neuhoff, 2011. "Balancing and Intraday Market Design: Options for Wind Integration," Discussion Papers of DIW Berlin 1162, DIW Berlin, German Institute for Economic Research.
    9. Robert S. Pindyck, 2004. "Volatility and commodity price dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(11), pages 1029-1047, November.
    10. Garnier, Ernesto & Madlener, Reinhard, 2014. "Balancing Forecast Errors in Continuous-Trade Intraday Markets," FCN Working Papers 2/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    11. Koichiro Ito & Mar Reguant, 2016. "Sequential Markets, Market Power, and Arbitrage," American Economic Review, American Economic Association, vol. 106(7), pages 1921-1957, July.
    12. Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
    13. Knaut, Andreas & Obermüller, Frank, 2016. "How to Sell Renewable Electricity - Interactions of the Intraday and Day-ahead Market under Uncertainty," EWI Working Papers 2016-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    14. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
    15. Maximilian Schumacher & Lion Hirth, 2015. "How much Electricity do we Consume? A Guide to German and European Electricity Consumption and Generation Data," Working Papers 2015.88, Fondazione Eni Enrico Mattei.
    16. 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.
    17. Kawai, Masahiro, 1983. "Price Volatility of Storable Commodities under Rational Expectations in Spot and Futures Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(2), pages 435-459, June.
    18. repec:dui:wpaper:1318 is not listed on IDEAS
    19. Ali Hortaçsu & Steven L. Puller, 2008. "Understanding strategic bidding in multi‐unit auctions: a case study of the Texas electricity spot market," RAND Journal of Economics, RAND Corporation, vol. 39(1), pages 86-114, March.
    20. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    21. Harrison, J. Michael & Kreps, David M., 1979. "Martingales and arbitrage in multiperiod securities markets," Journal of Economic Theory, Elsevier, vol. 20(3), pages 381-408, June.
    22. Green, Jerry R, 1973. "Temporary General Equilibrium in a Sequential Trading Model with Spot and Futures Transactions," Econometrica, Econometric Society, vol. 41(6), pages 1103-1123, November.
    23. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Intra-day and regime-switching dynamics in electricity price formation," Energy Economics, Elsevier, vol. 30(4), pages 1776-1797, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2020. "Strategic offering of a flexible producer in day-ahead and intraday power markets," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1136-1153.
    2. Bonaldo, Cinzia & Caporin, Massimiliano & Fontini, Fulvio, 2022. "The relationship between day-ahead and future prices in electricity markets: An empirical analysis on Italy, France, Germany, and Switzerland," Energy Economics, Elsevier, vol. 110(C).
    3. Daglish, Toby & de Bragança, Gabriel Godofredo Fiuza & Owen, Sally & Romano, Teresa, 2021. "Pricing effects of the electricity market reform in Brazil," Energy Economics, Elsevier, vol. 97(C).
    4. Jemma J. Makrygiorgou & Christos-Spyridon Karavas & Christos Dikaiakos & Ioannis P. Moraitis, 2023. "The Electricity Market in Greece: Current Status, Identified Challenges, and Arranged Reforms," Sustainability, MDPI, vol. 15(4), pages 1-40, February.
    5. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo CIEF 17618, Universidad EAFIT.
    6. Marijanovic, Zorica & Theile, Philipp & Czock, Berit Hanna, 2022. "Value of short-term heating system flexibility – A case study for residential heat pumps on the German intraday market," Energy, Elsevier, vol. 249(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Knaut, Andreas & Paschmann, Martin, 2017. "Price Volatility in Commodity Markets with Restricted Participation," EWI Working Papers 2017-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Knaut, Andreas & Paschmann, Martin, 2017. "Decoding Restricted Participation in Sequential Electricity Markets," EWI Working Papers 2017-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 31 Aug 2017.
    3. Paschmann, Martin, 2017. "Economic Analysis of Price Premiums in the Presence of Non-convexities - Evidence from German Electricity Markets," EWI Working Papers 2017-12, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    4. Koolen, Derck & Huisman, Ronald & Ketter, Wolfgang, 2022. "Decision strategies in sequential power markets with renewable energy," Energy Policy, Elsevier, vol. 167(C).
    5. 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.
    6. Obermüller, Frank, 2017. "Explaining Electricity Forward Premiums - Evidence for the Weather Uncertainty Effect," EWI Working Papers 2017-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    7. 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.
    8. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    9. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    10. Ocker, Fabian & Jaenisch, Vincent, 2020. "The way towards European electricity intraday auctions – Status quo and future developments," Energy Policy, Elsevier, vol. 145(C).
    11. Thomas Kuppelwieser & David Wozabal, 2023. "Intraday power trading: toward an arms race in weather forecasting?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 57-83, March.
    12. Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
    13. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    14. Koichiro Ito & Mar Reguant, 2016. "Sequential Markets, Market Power, and Arbitrage," American Economic Review, American Economic Association, vol. 106(7), pages 1921-1957, July.
    15. Gianfreda, Angelica & Ravazzolo, Francesco & Rossini, Luca, 2020. "Comparing the forecasting performances of linear models for electricity prices with high RES penetration," International Journal of Forecasting, Elsevier, vol. 36(3), pages 974-986.
    16. Pape, Christian, 2018. "The impact of intraday markets on the market value of flexibility — Decomposing effects on profile and the imbalance costs," Energy Economics, Elsevier, vol. 76(C), pages 186-201.
    17. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    18. 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.
    19. 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.
    20. Christopher Koch & Philipp Maskos, 2020. "Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany s Electricity System," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 101-112.

    More about this item

    Keywords

    Commodity markets; Price volatility; Product granularity; Electricity market; Renewable market integration;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:37-51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.