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Hedging spark spread risk with futures

Author

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  • Beatriz Martínez Martínez

    (Dpto. Finanzas Empresariales)

  • Hipolit Torro Enguix

    (Universitat de València)

Abstract

This is the first paper to discuss the spark spread risk management using electricity and natural gas futures. We focus on three European markets in which the natural gas share in the fuel mix varies considerably: Germany, the United Kingdom, and the Netherlands. We find that spark spread returns are partially predictable, and consequently, the Ederington and Salas (2008) minimum variance hedging approach should be applied. Hedging the spark spread is more difficult than hedging electricity and natural gas price risks with individual futures contracts. Whereas spark spread risk reduction for monthly periods produces values of between 20.05 and 48.90 per cent, electricity and natural gas individual hedges attain reductions ranging from 31.22 to 69.06 per cent. Results should be of interest for agents in those markets in which natural gas is part of the fuel mix in the power generation system. En este documento se aborda por primera vez en la doctrina la gestión del riesgo del spark spread utilizando futuros sobre la electricidad y el gas natural. Se ha focalizado la atención en tres mercados europeos en los que la participación del gas natural en el mix de generación es muy diferente: Alemania, Reino Unido y Holanda. Un primer resultado es que las rentabilidades del spark spread son parcialmente predecibles y, en consecuencia, el enfoque de cobertura mínima varianza propuesto en Ederington y Salas (2008) debe ser aplicado. La cobertura del riesgo del spark spread resulta ser mucho más difícil que la cobertura individualizada del riesgo de precio de la electricidad y el gas natural con sus respectivos contratos de futuros. Mientras que la reducción del riesgo alcanzada para el spark spread para coberturas mensuales obtiene reducciones de riesgo de entre el 21,22% y el 48,90%, las coberturas individualizadas de ambas commodities alcanzan reducciones de entre el 31,22% y el 69,06%. Estos resultados son de interés para aquellos agentes en cuyos mercados en el gas natural forma parte del mix de generación eléctrico.

Suggested Citation

  • Beatriz Martínez Martínez & Hipolit Torro Enguix, 2017. "Hedging spark spread risk with futures," Working Papers. Serie EC 2017-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  • Handle: RePEc:ivi:wpasec:2017-01
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    1. Koopman, Siem Jan & Ooms, Marius & Carnero, M. Angeles, 2007. "Periodic Seasonal Reg-ARFIMAGARCH Models for Daily Electricity Spot Prices," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 16-27, March.
    2. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    3. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    4. Cotter, John & Hanly, Jim, 2015. "Performance of utility based hedges," Energy Economics, Elsevier, vol. 49(C), pages 718-726.
    5. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.
    6. Abadie, Luis M. & Chamorro, José M., 2008. "Valuing flexibility: The case of an Integrated Gasification Combined Cycle power plant," Energy Economics, Elsevier, vol. 30(4), pages 1850-1881, July.
    7. Chi-Keung Woo, Ira Horowitz, Brian Horii, Ren Orans, and Jay Zarnikau, 2012. "Blowing in the Wind: Vanishing Payoffs of a Tolling Agreement for Natural-gas-fired Generation of Electricity in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    8. Niaz Bashiri Behmiri & Matteo Manera & Marcella Nicolini, 2016. "Understanding Dynamic Conditional Correlations between Commodities Futures Markets," Working Papers 2016.17, Fondazione Eni Enrico Mattei.
    9. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    10. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    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. Peters, Jeffrey C., 2017. "Natural gas and spillover from the US Clean Power Plan into the Paris Agreement," Energy Policy, Elsevier, vol. 106(C), pages 41-47.
    13. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    14. Atalla, Tarek & Blazquez, Jorge & Hunt, Lester C. & Manzano, Baltasar, 2017. "Prices versus policy: An analysis of the drivers of the primary fossil fuel mix," Energy Policy, Elsevier, vol. 106(C), pages 536-546.
    15. Pless, Jacquelyn & Arent, Douglas J. & Logan, Jeffrey & Cochran, Jaquelin & Zinaman, Owen, 2016. "Quantifying the value of investing in distributed natural gas and renewable electricity systems as complements: Applications of discounted cash flow and real options analysis with stochastic inputs," Energy Policy, Elsevier, vol. 97(C), pages 378-390.
    16. Hsiang‐Tai Lee & Jonathan Yoder, 2007. "Optimal hedging with a regime‐switching time‐varying correlation GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(5), pages 495-516, May.
    17. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    18. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    19. Gary W. Emery & Qingfeng (Wilson) Liu, 2002. "An analysis of the relationship between electricity and natural‐gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(2), pages 95-122, February.
    20. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    21. Cotter, John & Hanly, Jim, 2010. "Time-varying risk aversion: An application to energy hedging," Energy Economics, Elsevier, vol. 32(2), pages 432-441, March.
    22. Ederington, Louis H. & Salas, Jesus M., 2008. "Minimum variance hedging when spot price changes are partially predictable," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 654-663, May.
    23. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    24. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    25. 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..
    26. Borovkova Svetlana & Geman Helyette, 2006. "Analysis and Modelling of Electricity Futures Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-16, September.
    27. Alexander, Carol & Prokopczuk, Marcel & Sumawong, Anannit, 2013. "The (de)merits of minimum-variance hedging: Application to the crack spread," Energy Economics, Elsevier, vol. 36(C), pages 698-707.
    28. Donald Lien & Y. K. Tse, 2002. "Some Recent Developments in Futures Hedging," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 357-396, July.
    29. H. N. E. BystrOm, 2003. "The hedging performance of electricity futures on the Nordic power exchange," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 1-11.
    30. Stefan Trück & Rafał Weron, 2016. "Convenience Yields and Risk Premiums in the EU‐ETS—Evidence from the Kyoto Commitment Period," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(6), pages 587-611, June.
    31. repec:bla:jecsur:v:16:y:2002:i:3:p:357-96 is not listed on IDEAS
    32. Xiaojia Guo & Alexandros Beskos & Afzal Siddiqui, 2016. "The natural hedge of a gas-fired power plant," Computational Management Science, Springer, vol. 13(1), pages 63-86, January.
    33. Hsiang-Tai Lee & Jonathan Yoder, 2007. "A bivariate Markov regime switching GARCH approach to estimate time varying minimum variance hedge ratios," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1253-1265.
    34. Ji, Qiang & Fan, Ying, 2011. "A dynamic hedging approach for refineries in multiproduct oil markets," Energy, Elsevier, vol. 36(2), pages 881-887.
    35. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    36. Moulton, Jonathan S., 2005. "California electricity futures: the NYMEX experience," Energy Economics, Elsevier, vol. 27(1), pages 181-194, January.
    37. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    38. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    39. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
    40. Boie, Inga & Fernandes, Camila & Frías, Pablo & Klobasa, Marian, 2014. "Efficient strategies for the integration of renewable energy into future energy infrastructures in Europe – An analysis based on transnational modeling and case studies for nine European regions," Energy Policy, Elsevier, vol. 67(C), pages 170-185.
    41. Louis Gagnon & Greg Lypny, 1995. "Hedging short‐term interest risk under time‐varying distributions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(7), pages 767-783, October.
    42. Robert J. Myers, 1991. "Estimating time‐varying optimal hedge ratios on futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(1), pages 39-53, February.
    43. Charalampous, Georgios & Madlener, Reinhard, 2013. "Risk Management and Portfolio Optimization for Gas- and Coal-fired Power Plants in Germany: A Multivariate GARCH Approach," FCN Working Papers 23/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
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    More about this item

    Keywords

    mercado del gas natural; mercado de la electricidad; contratos de futuro; contratos forward; spark spread; ratio de cobertura; efectos estacionales. natural gas market; electricity market; futures contracts; forward contracts; spark spread; hedging ratio; seasonal effects.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities

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