IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v16y2016i2p213-230.html
   My bibliography  Save this article

A non-parametric structural hybrid modeling approach for electricity prices

Author

Listed:
  • S. Moazeni
  • M. Coulon
  • I. Arciniegas Rueda
  • B. Song
  • W.B. Powell

Abstract

We develop a stochastic model of zonal/regional electricity prices, designed to reflect information in fuel forward curves and aggregated capacity and load, as well as zonal or regional price spreads. We use a non-parametric model of the supply stack that captures heat rates and fuel prices for all generators in the market operator territory, combined with an adjustment term to approximate congestion and other zone-specific behaviour. The approach requires minimal calibration effort, is readily adaptable to changing market conditions and regulations, and retains sufficient tractability for the purpose of forward price calibration. The model is illustrated for the spot and forward electricity prices of the PS zone in the PJM market, and the set of time-dependent risk premiums are inferred and analysed.

Suggested Citation

  • S. Moazeni & M. Coulon & I. Arciniegas Rueda & B. Song & W.B. Powell, 2016. "A non-parametric structural hybrid modeling approach for electricity prices," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 213-230, February.
  • Handle: RePEc:taf:quantf:v:16:y:2016:i:2:p:213-230
    DOI: 10.1080/14697688.2015.1114363
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2015.1114363
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2015.1114363?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. Pirrong,Craig, 2012. "Commodity Price Dynamics," Cambridge Books, Cambridge University Press, number 9780521195898.
    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. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    2. Alasseur, C. & Féron, O., 2018. "Structural price model for coupled electricity markets," Energy Economics, Elsevier, vol. 75(C), pages 104-119.
    3. Kanamura, Takashi & Bunn, Derek W., 2022. "Market making and electricity price formation in Japan," Energy Economics, Elsevier, vol. 107(C).
    4. Thomas Deschatre & Olivier F'eron & Pierre Gruet, 2021. "A survey of electricity spot and futures price models for risk management applications," Papers 2103.16918, arXiv.org, revised Jul 2021.

    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. Coulon, Michael & Khazaei, Javad & Powell, Warren B., 2015. "SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market," Journal of Environmental Economics and Management, Elsevier, vol. 73(C), pages 13-31.
    2. Frank Asche, Atle Oglend, and Petter Osmundsen, 2017. "Modeling UK Natural Gas Prices when Gas Prices Periodically Decouple from the Oil Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Azam, Jean-Paul, 2020. "Oil Shocks and Total Factor Productivity in Resource-Poor Economies: The Cases of France and Germany," IAST Working Papers 20-108, Institute for Advanced Study in Toulouse (IAST).
    4. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Colin A. Carter & Gordon C. Rausser & Aaron Smith, 2017. "Commodity Storage and the Market Effects of Biofuel Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 1027-1055.
    6. Zi-Yi Guo & Yangxiaoteng Luo, 2017. "Dynamic Stochastic Factors, Risk Management and the Energy Futures," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 50-59, September.
    7. Oglend, Atle & Kleppe, Tore Selland, 2017. "On the behavior of commodity prices when speculative storage is bounded," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 52-69.
    8. Gianfranco Giulioni & Edmondo Di Giuseppe & Massimiliano Pasqui & Piero Toscano & Francesco Miglietta, 2018. "Investigating Wheat Price with a Multi-Agent Model," Papers 1807.10537, arXiv.org.
    9. Swinand, Gregory P & O'Mahoney, Amy, 2014. "Detecting abnormalities in the Brent crude oil commodities and derivatives pricing complex," MPRA Paper 56252, University Library of Munich, Germany.
    10. Robe, Michel A., 2022. "The dollar’s ”Convenience Yield”," Finance Research Letters, Elsevier, vol. 48(C).
    11. González-Pedraz, Carlos & Moreno, Manuel & Peña, Juan Ignacio, 2014. "Tail risk in energy portfolios," Energy Economics, Elsevier, vol. 46(C), pages 422-434.
    12. Füss, Roland & Mahringer, Steffen & Prokopczuk, Marcel, 2015. "Electricity derivatives pricing with forward-looking information," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 34-57.
    13. Atle Oglend & Vesa-Heikki Soini, 2020. "Equilibrium Working Curves with Heterogeneous Agents," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 355-372, August.
    14. Bassam Fattouh, 2012. "Speculation and Oil Price Formation," Review of Environment, Energy and Economics - Re3, Fondazione Eni Enrico Mattei, February.
    15. Frank Asche & Atle Oglend & Petter Osmundsen, 2013. "UK Natural Gas: Gas-Specific or Oil Driven Pricing?," CESifo Working Paper Series 4503, CESifo.
    16. Bassam Fattouh & Lavan Mahadeva, 2014. "Causes and Implications of Shifts in Financial Participation in Commodity Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(8), pages 757-787, August.
    17. Apperson, George P., 2017. "Agricultural Commodity Futures Price Volatility: A Market Regulatory Policy Study," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258210, Agricultural and Applied Economics Association.
    18. Mason, Charles F. & Wilmot, Neil A., 2016. "Price discontinuities in the market for RINs," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 79-97.
    19. Bozic, Marin & Fortenbery, T., 2015. "Price Discovery, Volatility Spillovers and Adequacy of Speculation when Spot Prices are Stationary: The Case of U.S. Dairy Markets," 2015 Conference, August 9-14, 2015, Milan, Italy 211369, International Association of Agricultural Economists.
    20. Schwanitz, Valeria Jana & Wierling, August, 2016. "Offshore wind investments – Realism about cost developments is necessary," Energy, Elsevier, vol. 106(C), pages 170-181.

    More about this item

    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:taf:quantf:v:16:y:2016:i:2:p:213-230. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.