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Analysing the Dynamic Impact of Electricity Futures on Revenue and Risks of Renewable Energy in China

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  • Zhang Yue

    (China University of Petroleum)

  • Arash Farnoosh

    (IFPEN - IFP Energies nouvelles, IFP School)

Abstract

Though the electricity market in China has gone through several reforms in the last few decades, the market is still not completely liberalized. The wholesale prices are regulated and for renewable it is based on feed-in tariff; there is not yet a competitive spot or derivative market concerning the generation side. Furthermore, with great potential, renewable energy is being gradually promoted by the government to compete freely with conventional energies. However, it is hard for a renewable generator to survive without subsidy. So, in this paper we propose a new round of revolution in power sector to introduce electricity futures into China with the expectation of perfecting the market and providing a proper hedging tool for renewable plants. We make an estimation of the risk premium and then simulate the futures prices in China's market. To support the establishment of the futures contracts, we also propose two pricing mechanisms: Demand-side price & Opportunity cost price and study their effects on the futures. Finally, some suggestions with regard to the construction of futures market in China and the operational strategy for renewable plants are given.

Suggested Citation

  • 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.
  • Handle: RePEc:hal:wpaper:hal-03188814
    Note: View the original document on HAL open archive server: https://ifp.hal.science/hal-03188814
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    References listed on IDEAS

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    1. Huisman, Ronald & Kilic, Mehtap, 2012. "Electricity Futures Prices: Indirect Storability, Expectations, and Risk Premiums," Energy Economics, Elsevier, vol. 34(4), pages 892-898.
    2. Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
    3. Ardakani, F.J. & Ardehali, M.M., 2014. "Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types," Energy, Elsevier, vol. 65(C), pages 452-461.
    4. Botterud, Audun & Kristiansen, Tarjei & Ilic, Marija D., 2010. "The relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 32(5), pages 967-978, September.
    5. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    6. Zanotti, Giovanna & Gabbi, Giampaolo & Geranio, Manuela, 2010. "Hedging with futures: Efficacy of GARCH correlation models to European electricity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 135-148, April.
    7. Long, Huan & Zhang, Zijun & Su, Yan, 2014. "Analysis of daily solar power prediction with data-driven approaches," Applied Energy, Elsevier, vol. 126(C), pages 29-37.
    8. Huisman, Ronald & Kiliç, Mehtap, 2015. "Time variation in European carbon pass-through rates in electricity futures prices," Energy Policy, Elsevier, vol. 86(C), pages 239-249.
    9. Hahn, Heiko & Meyer-Nieberg, Silja & Pickl, Stefan, 2009. "Electric load forecasting methods: Tools for decision making," European Journal of Operational Research, Elsevier, vol. 199(3), pages 902-907, December.
    10. Jain, Rishee K. & Smith, Kevin M. & Culligan, Patricia J. & Taylor, John E., 2014. "Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy," Applied Energy, Elsevier, vol. 123(C), pages 168-178.
    11. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    12. Yu‐Sheng Lai & Her‐Jiun Sheu & Hsiang‐Tai Lee, 2017. "A Multivariate Markov Regime‐Switching High‐Frequency‐Based Volatility Model for Optimal Futures Hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(11), pages 1124-1140, November.
    13. 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.
    14. 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.
    15. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
    16. repec:dui:wpaper:1504 is not listed on IDEAS
    17. Franklin R. Edwards & Michael S. Canter, 1995. "The Collapse Of Metallgesellschaft: Unhedgeable Risks, Poor Hedging Strategy, Or Just Bad Luck?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 8(1), pages 86-105, March.
    18. Eugene F. Fama & Kenneth R. French, 2015. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 4, pages 79-102, World Scientific Publishing Co. Pte. Ltd..
    19. Fanelli, Viviana & Maddalena, Lucia & Musti, Silvana, 2016. "Modelling electricity futures prices using seasonal path-dependent volatility," Applied Energy, Elsevier, vol. 173(C), pages 92-102.
    20. 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.
    21. Douglas, Stratford & Popova, Julia, 2008. "Storage and the electricity forward premium," Energy Economics, Elsevier, vol. 30(4), pages 1712-1727, July.
    22. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    23. Kolos, Sergey P. & Ronn, Ehud I., 2008. "Estimating the commodity market price of risk for energy prices," Energy Economics, Elsevier, vol. 30(2), pages 621-641, March.
    24. Frestad, Dennis, 2012. "Liquidity and dirty hedging in the Nordic electricity market," Energy Economics, Elsevier, vol. 34(5), pages 1341-1355.
    25. Wimschulte, Jens, 2010. "The futures and forward price differential in the Nordic electricity market," Energy Policy, Elsevier, vol. 38(8), pages 4731-4733, August.
    26. Moulton, Jonathan S., 2005. "California electricity futures: the NYMEX experience," Energy Economics, Elsevier, vol. 27(1), pages 181-194, January.
    27. Kialashaki, Arash & Reisel, John R., 2013. "Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks," Applied Energy, Elsevier, vol. 108(C), pages 271-280.
    28. Franklin R. Edwards & Michael S. Canter, 1995. "The collapse of Metallgesellschaft: Unhedgeable risks, poor hedging strategy, or just bad luck?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(3), pages 211-264, May.
    29. J W Taylor & S Majithia, 2000. "Using combined forecasts with changing weights for electricity demand profiling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 72-82, January.
    30. 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.
    31. Bloys van Treslong, A. & Huisman, R., 2009. "A Comment on: Storage and the Electricity Forward Premium," ERIM Report Series Research in Management ERS-2009-042-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    32. Benth, Fred Espen & Koekebakker, Steen, 2008. "Stochastic modeling of financial electricity contracts," Energy Economics, Elsevier, vol. 30(3), pages 1116-1157, May.
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