IDEAS home Printed from https://ideas.repec.org/a/eee/jocoma/v31y2023ics2405851322000484.html
   My bibliography  Save this article

Trading time seasonality in electricity futures

Author

Listed:
  • Størdal, Ståle
  • Ewald, Christian-Oliver
  • Lien, Gudbrand
  • Haugom, Erik

Abstract

Trading time seasonality reflects the seasonal behavior of futures prices with the same time of maturity. Hence, it differs from classical seasonality, which reflects seasonal behavior induced by the spot price observed for varying maturities. This type of seasonality is linked to the pricing kernel which in turn accounts for seasonal changes in preferences of agents and tied to risk aversion and thus the demand for hedging. In the present study we empirically examine trading time seasonality in yearly Nordic and German electricity futures contracts. Visual inspection of both average monthly futures prices and the futures backward curves provides strong indications of futures prices systematically varying over the trading year. On average both Nordic and German futures prices are lowest in first quarter and highest in third quarter trading months. This is confirmed by statistical tests of stochastic dominance. Exploiting this insight in a simple trading strategy induces positive and significant alphas in the sense of the capital asset pricing model. We relate the findings to potential seasonal risk preferences and hedging pressure in the electricity futures market.

Suggested Citation

  • Størdal, Ståle & Ewald, Christian-Oliver & Lien, Gudbrand & Haugom, Erik, 2023. "Trading time seasonality in electricity futures," Journal of Commodity Markets, Elsevier, vol. 31(C).
  • Handle: RePEc:eee:jocoma:v:31:y:2023:i:c:s2405851322000484
    DOI: 10.1016/j.jcomm.2022.100291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2405851322000484
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcomm.2022.100291?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. Hirshleifer, David, 1990. "Hedging Pressure and Futures Price Movements in a General Equilibrium Model," Econometrica, Econometric Society, vol. 58(2), pages 411-428, March.
    2. Cheung, C. Sherman & Miu, Peter, 2010. "Diversification benefits of commodity futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 451-474, December.
    3. Hirshleifer, David, 1991. "Seasonal patterns of futures hedging and the resolution of output uncertainty," Journal of Economic Theory, Elsevier, vol. 53(2), pages 304-327, April.
    4. Jennefer Baxter & Thomas E. Conine Jr. & Maurry Tamarkin, 1985. "On commodity market risk premiums: Additional evidence," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(1), pages 121-125, March.
    5. Ewald, Christian-Oliver & Haugom, Erik & Lien, Gudbrand & Størdal, Ståle & Wu, Yuexiang, 2022. "Trading time seasonality in commodity futures: An opportunity for arbitrage in the natural gas and crude oil markets?," Energy Economics, Elsevier, vol. 115(C).
    6. Shao, Chengwu & Bhar, Ramaprasad & Colwell, David B., 2015. "A multi-factor model with time-varying and seasonal risk premiums for the natural gas market," Energy Economics, Elsevier, vol. 50(C), pages 207-214.
    7. Douglas, Stratford & Popova, Julia, 2008. "Storage and the electricity forward premium," Energy Economics, Elsevier, vol. 30(4), pages 1712-1727, July.
    8. Stuart Thomas & Vikash Ramiah & Heather Mitchell & Richard Heaney, 2011. "Seasonal factors and outlier effects in rate of return on electricity spot prices in Australia's National Electricity Market," Applied Economics, Taylor & Francis Journals, vol. 43(3), pages 355-369.
    9. Steen Koekebakker & Gudbrand Lien, 2004. "Volatility and Price Jumps in Agricultural Futures Prices—Evidence from Wheat Options," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1018-1031.
    10. Li, Fengyun & Zhang, Huacheng & Zheng, Dazhi, 2018. "Seasonality in the cross section of stock returns: Advanced markets versus emerging markets," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 263-281.
    11. Christian Redl & Derek Bunn, 2013. "Determinants of the premium in forward contracts," Journal of Regulatory Economics, Springer, vol. 43(1), pages 90-111, January.
    12. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D. & Wermers, Russ, 2017. "Seasonal Asset Allocation: Evidence from Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 71-109, February.
    13. Frans A. De Roon & Theo E. Nijman & Chris Veld, 2000. "Hedging Pressure Effects in Futures Markets," Journal of Finance, American Finance Association, vol. 55(3), pages 1437-1456, June.
    14. Lucia, Julio J. & Torró, Hipòlit, 2011. "On the risk premium in Nordic electricity futures prices," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 750-763, October.
    15. Huisman, Ronald & Kilic, Mehtap, 2012. "Electricity Futures Prices: Indirect Storability, Expectations, and Risk Premiums," Energy Economics, Elsevier, vol. 34(4), pages 892-898.
    16. Erik Haugom & Guttorm A. Hoff & Peter Molnár & Maria Mortensen & Sjur Westgaard, 2018. "The Forward Premium in the Nord Pool Power Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(8), pages 1793-1807, June.
    17. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi & Tan Wang, 2014. "Seasonally Varying Preferences: Theoretical Foundations for an Empirical Regularity," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 4(1), pages 39-77.
    18. Erik Haugom & Peter Molnár & Magne Tysdahl, 2020. "Determinants of the Forward Premium in the Nord Pool Electricity Market," Energies, MDPI, vol. 13(5), pages 1-18, March.
    19. Ewald, Christian & Zou, Yihan, 2021. "Analytic formulas for futures and options for a linear quadratic jump diffusion model with seasonal stochastic volatility and convenience yield: Do fish jump?," European Journal of Operational Research, Elsevier, vol. 294(2), pages 801-815.
    20. Yuewen Xiao & David B. Colwell & Ramaprasad Bhar, 2015. "Risk Premium in Electricity Prices: Evidence from the PJM Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(8), pages 776-793, August.
    21. Basu, Devraj & Miffre, Joëlle, 2013. "Capturing the risk premium of commodity futures: The role of hedging pressure," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2652-2664.
    22. Weron, Rafał & Zator, Michał, 2014. "Revisiting the relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 44(C), pages 178-190.
    23. Bunn, Derek W. & Chen, Dipeng, 2013. "The forward premium in electricity futures," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 173-186.
    24. Francis A. Longstaff & Ashley W. Wang, 2004. "Electricity Forward Prices: A High-Frequency Empirical Analysis," Journal of Finance, American Finance Association, vol. 59(4), pages 1877-1900, August.
    25. Qian Shen & Andrew C. Szakmary & Subhash C. Sharma, 2007. "An examination of momentum strategies in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(3), pages 227-256, March.
    26. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    27. Dusak, Katherine, 1973. "Futures Trading and Investor Returns: An Investigation of Commodity Market Risk Premiums," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1387-1406, Nov.-Dec..
    28. Bessembinder, Hendrik, 1992. "Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets," Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 637-667.
    Full references (including those not matched with items on IDEAS)

    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. Ewald, Christian-Oliver & Haugom, Erik & Lien, Gudbrand & Størdal, Ståle & Wu, Yuexiang, 2022. "Trading time seasonality in commodity futures: An opportunity for arbitrage in the natural gas and crude oil markets?," Energy Economics, Elsevier, vol. 115(C).
    2. van Koten, Silvester, 2021. "The forward premium in electricity markets: An experimental study," Energy Economics, Elsevier, vol. 94(C).
    3. Weron, Rafał & Zator, Michał, 2014. "Revisiting the relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 44(C), pages 178-190.
    4. Erik Haugom & Peter Molnár & Magne Tysdahl, 2020. "Determinants of the Forward Premium in the Nord Pool Electricity Market," Energies, MDPI, vol. 13(5), pages 1-18, March.
    5. Koten, Silvester Van, 2020. "Forward premia in electricity markets: A replication study," Energy Economics, Elsevier, vol. 89(C).
    6. Bevin-McCrimmon, Fergus & Diaz-Rainey, Ivan & McCarten, Matthew & Sise, Greg, 2018. "Liquidity and risk premia in electricity futures," Energy Economics, Elsevier, vol. 75(C), pages 503-517.
    7. Loïc Maréchal, 2023. "A tale of two premiums revisited," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 580-614, May.
    8. 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).
    9. Zhang, Yue & Farnoosh, Arash, 2019. "Analyzing the dynamic impact of electricity futures on revenue and risk of renewable energy in China," Energy Policy, Elsevier, vol. 132(C), pages 678-690.
    10. Miffre, Joëlle, 2016. "Long-short commodity investing: A review of the literature," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 3-13.
    11. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    12. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joelle, 2021. "The risk premia of energy futures," Energy Economics, Elsevier, vol. 102(C).
    13. Pietz, Matthäus, 2009. "Risk premia in the German electricity futures market," CEFS Working Paper Series 2009-07, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    14. Mohammad Isleimeyyeh, 2020. "The role of financial investors in determining the commodity futures risk premium," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1375-1397, September.
    15. Zhang Yue & Arash Farnoosh, 2018. "Analysing the Dynamic Impact of Electricity Futures on Revenue and Risks of Renewable Energy in China," Working Papers hal-03188814, HAL.
    16. Fleten, Stein-Erik & Hagen, Liv Aune & Nygård, Maria Tandberg & Smith-Sivertsen, Ragnhild & Sollie, Johan M., 2015. "The overnight risk premium in electricity forward contracts," Energy Economics, Elsevier, vol. 49(C), pages 293-300.
    17. Guillermo Llorente & Jiang Wang, 2020. "Trading and information in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1231-1263, August.
    18. Bunn, Derek W. & Chen, Dipeng, 2013. "The forward premium in electricity futures," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 173-186.
    19. Jacobs, Kris & Li, Yu & Pirrong, Craig, 2022. "Supply, demand, and risk premiums in electricity markets," Journal of Banking & Finance, Elsevier, vol. 135(C).
    20. Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2020. "Does sophistication of the weighting scheme enhance the performance of long-short commodity portfolios?," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 164-180.

    More about this item

    Keywords

    CAPM; Electricity futures; Nonparametric tests; Seasonality;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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:jocoma:v:31:y:2023:i:c:s2405851322000484. 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/jcomm .

    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.