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Fuel mix diversification incentives in liberalised electricity markets: a Mean-Variance Portfolio Theory Approach

Author

Listed:
  • Fabien A. Roques

    (International Energy Agency, Economic Analysis Division, Judge Business School, University of Cambridge)

  • David M. Newbery

    (Department of Applied Economics, University of Cambridge)

  • William J. Nuttall

    (Judge Business School, University of Cambridge)

Abstract

Monte Carlo simulations of gas, coal and nuclear plant investment returns are used as inputs of a Mean-Variance Portfolio optimization to identify optimal base load generation portfolios for large electricity generators in liberalized electricity markets. We study the impact of fuel, electricity, and CO2 price risks and their degree of correlation on optimal plant portfolios. High degrees of correlation between gas and electricity prices - as observed in most European markets - reduce gas plant risks and make portfolios dominated by gas plant more attractive. Long-term power purchase contracts and/or a lower cost of capital can rebalance optimal portfolios towards more diversified portfolios with larger shares of nuclear and coal plants.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fabien A. Roques & David M. Newbery & William J. Nuttall, 2006. "Fuel mix diversification incentives in liberalised electricity markets: a Mean-Variance Portfolio Theory Approach," Working Papers EPRG 0626, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg0626
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    References listed on IDEAS

    as
    1. Richard Green, 2008. "Carbon Tax or Carbon Permits: The Impact on Generators Risks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 67-90.
    2. Wiser, Ryan & Bachrach, Devra & Bolinger, Mark & Golove, William, 2004. "Comparing the risk profiles of renewable and natural gas-fired electricity contracts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 335-363, August.
    3. Fabien A. Roques & William J. Nuttall & David M. Newbery & Richard de Neufville & Stephen Connors, 2006. "Nuclear Power: A Hedge against Uncertain Gas and Carbon Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-24.
    4. repec:dau:papers:123456789/607 is not listed on IDEAS
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. David M. Newbery, 2008. "Climate Change Policy and Its Effect on Market Power in the Gas Market," Journal of the European Economic Association, MIT Press, vol. 6(4), pages 727-751, June.
    7. H. Brett Humphreys & Katherine T. McClain, 1998. "Reducing the Impacts of Energy Price Volatility Through Dynamic Portfolio Selection," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 107-131.
    8. Stirling, Andrew, 1994. "Diversity and ignorance in electricity supply investment : Addressing the solution rather than the problem," Energy Policy, Elsevier, vol. 22(3), pages 195-216, March.
    9. Bar-Lev, Dan & Katz, Steven, 1976. "A Portfolio Approach to Fossil Fuel Procurement in the Electric Utility Industry," Journal of Finance, American Finance Association, vol. 31(3), pages 933-947, June.
    10. Green, Richard, 2002. "Retail Competition and Electricity Contracts," Royal Economic Society Annual Conference 2002 93, Royal Economic Society.
    11. Neuhoff, Karsten & De Vries, Laurens, 2004. "Insufficient incentives for investment in electricity generations," Utilities Policy, Elsevier, vol. 12(4), pages 253-267, December.
    12. Karsten Neuhoff & Laurens De Vries, 2004. "Insufficient Incentives for Investment," Working Papers EP42, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    13. Awerbuch, Shimon, 2000. "Investing in photovoltaics: risk, accounting and the value of new technology," Energy Policy, Elsevier, vol. 28(14), pages 1023-1035, November.
    14. Awerbuch, Shimon, 1995. "Market-based IRP: It's easy!!!," The Electricity Journal, Elsevier, vol. 8(3), pages 50-67, April.
    15. Pogue, G A, 1970. "An Extension of the Markowitz Portfolio Selection Model to Include Variable Transactions' Costs, Short Sales, Leverage Policies and Taxes," Journal of Finance, American Finance Association, vol. 25(5), pages 1005-1027, December.
    16. Boris Krey & Peter Zweifel, 2006. "Efficient Electricity Portfolios for Switzerland and the United States," SOI - Working Papers 0602, Socioeconomic Institute - University of Zurich.
    17. Helyette Geman, 2005. "Commodities and Commodity Derivatives. Modeling and Pricing for Agriculturals, Metals and Energy," Post-Print halshs-00144182, HAL.
    18. Chen, Andrew H Y & Jen, Frank C & Zionts, Stanley, 1971. "The Optimal Portfolio Revision Policy," The Journal of Business, University of Chicago Press, vol. 44(1), pages 51-61, January.
    19. Paul R. Kleindorfer & Lide Li, 2005. "Multi-Period VaR-Constrained Portfolio Optimization with Applications to the Electric Power Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-26.
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    More about this item

    Keywords

    fuel-mix; price risk; Mean-Variance Portfolio theory;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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