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Hedging quantity risks with standard power options in a competitive wholesale electricity market

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  • Yumi Oum
  • Shmuel Oren
  • Shijie Deng

Abstract

This paper addresses quantity risk in the electricity market and explores several ways of managing such risk. The paper also addresses the hedging problem of a load‐serving entity, which provides electricity service at a regulated price in electricity markets with price and quantity risk. Exploiting the correlation between consumption volume and spot price of electricity, an optimal zero‐cost hedging function characterized by payoff as a function of spot price is derived. It is then illustrated how such a hedging strategy can be implemented through a portfolio of forward contracts and call and put options. © 2006 Wiley Periodicals, Inc. Naval Research Logistics 2006

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  • Yumi Oum & Shmuel Oren & Shijie Deng, 2006. "Hedging quantity risks with standard power options in a competitive wholesale electricity market," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 697-712, October.
    • Handle: RePEc:wly:navres:v:53:y:2006:i:7:p:697-712
    DOI: 10.1002/nav.20184
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    Cited by:

    1. Biggar, Darryl R. & Hesamzadeh, Mohammad Reza, 2022. "An integrated theory of dispatch and hedging in wholesale electric power markets," Energy Economics, Elsevier, vol. 112(C).
    2. Matsumoto, Takuji & Yamada, Yuji, 2021. "Simultaneous hedging strategy for price and volume risks in electricity businesses using energy and weather derivatives1," Energy Economics, Elsevier, vol. 95(C).
    3. Boroumand, Raphaël-Homayoun & Goutte, Stéphane & Guesmi, Khaled & Porcher, Thomas, 2019. "Potential benefits of optimal intra-day electricity hedging for the environment: The perspective of electricity retailers," Energy Policy, Elsevier, vol. 132(C), pages 1120-1129.
    4. Daniel Poh & Stephen Roberts & Martin Tegn'er, 2019. "A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes," Papers 1903.09536, arXiv.org, revised Apr 2019.
    5. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    6. Hesamzadeh, Mohammad Reza & Biggar, Darryl R., 2021. "Generalized FTRs for hedging inter-nodal pricing risk," Energy Economics, Elsevier, vol. 94(C).
    7. Johannes Kaufmann & Philipp Artur Kienscherf & Wolfgang Ketter, 2020. "Modeling and Managing Joint Price and Volumetric Risk for Volatile Electricity Portfolios," Energies, MDPI, vol. 13(14), pages 1-19, July.
    8. Panos Kouvelis & Danko Turcic, 2021. "Supporting Operations with Financial Hedging: Cash Hedging Vs. Cost Hedging in an Automotive Industry," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 738-749, March.
    9. Moret, Fabio & Pinson, Pierre & Papakonstantinou, Athanasios, 2020. "Heterogeneous risk preferences in community-based electricity markets," European Journal of Operational Research, Elsevier, vol. 287(1), pages 36-48.
    10. Yuji Yamada & Takuji Matsumoto, 2021. "Going for Derivatives or Forwards? Minimizing Cashflow Fluctuations of Electricity Transactions on Power Markets," Energies, MDPI, vol. 14(21), pages 1-28, November.
    11. Panos Kouvelis & Rong Li & Qing Ding, 2013. "Managing Storable Commodity Risks: The Role of Inventory and Financial Hedge," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 507-521, July.
    12. Sánchez de la Nieta, Agustín A. & Paterakis, Nikolaos G. & Gibescu, Madeleine, 2020. "Participation of photovoltaic power producers in short-term electricity markets based on rescheduling and risk-hedging mapping," Applied Energy, Elsevier, vol. 266(C).
    13. Pankaj Pandey & Einar Snekkenes, 2016. "Using Financial Instruments to Transfer the Information Security Risks," Future Internet, MDPI, vol. 8(2), pages 1-62, May.
    14. Yuji Yamada & Takuji Matsumoto, 2023. "Construction of Mixed Derivatives Strategy for Wind Power Producers," Energies, MDPI, vol. 16(9), pages 1-26, April.
    15. Liu, Shuangquan & Yang, Qiang & Cai, Huaxiang & Yan, Minghui & Zhang, Maolin & Wu, Dianning & Xie, Mengfei, 2019. "Market reform of Yunnan electricity in southwestern China: Practice, challenges and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    16. Bhattacharya, Saptarshi & Gupta, Aparna & Kar, Koushik & Owusu, Abena, 2020. "Risk management of renewable power producers from co-dependencies in cash flows," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1081-1093.
    17. Tapiero, Charles S. & Kogan, Konstantin, 2009. "Risk-averse order policies with random prices in complete market and retailers' private information," European Journal of Operational Research, Elsevier, vol. 196(2), pages 594-599, July.
    18. Panos Kouvelis & Rong Li, 2019. "Integrated Risk Management for Newsvendors with Value-at-Risk Constraints," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 816-832, October.
    19. Haitao Xiang & Ying Kong & Wai Kin Victor Chan & Sum Wai Chiang, 2019. "Impact of Price–Quantity Uncertainties and Risk Aversion on Energy Retailer’s Pricing and Hedging Behaviors," Energies, MDPI, vol. 12(17), pages 1-20, August.
    20. Barbosa, Maria de Fatima & Street, Alexandre & Fanzeres, Bruno, 2024. "A Tailored Derivative Instrument to Mitigate the Price-and-Quantity Risk Faced by Wind Power Companies," Energy Economics, Elsevier, vol. 136(C).
    21. Takuji Matsumoto & Yuji Yamada, 2023. "Improving the Efficiency of Hedge Trading Using Higher-Order Standardized Weather Derivatives for Wind Power," Energies, MDPI, vol. 16(7), pages 1-22, March.
    22. Rubin, Ofir David, 2010. "Equilibrium pricing in electricity markets with wind power," ISU General Staff Papers 201001010800002361, Iowa State University, Department of Economics.

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