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Gains from Trade under Uncertainty: The Case of Electric Power Markets

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  • Hendrik Bessembinder

    (University of Utah)

  • Michael L. Lemmon

    (University of Utah)

Abstract

This article refocuses attention on the potential efficiency gains from competitive wholesale power trading, which allows the diversification of demand risk. The greatest efficiency gains obtain when power demand is least correlated across markets and when there is substantial cross-sectional variation in expected demand. Real-time power trading can reduce retail prices by conservative estimates of 3%–4% on average in the United States, and forward and real-time trading can reduce prices by a combined 6%–10% or more. Economic efficiency would be best served by policy ensuring that deregulated power markets are indeed competitive, rather than by renewed regulation.

Suggested Citation

  • Hendrik Bessembinder & Michael L. Lemmon, 2006. "Gains from Trade under Uncertainty: The Case of Electric Power Markets," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1755-1782, July.
  • Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:4:p:1755-1782
    DOI: 10.1086/503647
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    Citations

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    Cited by:

    1. 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).
    2. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    3. Zarnikau, J. & Woo, C.K. & Zhu, S. & Tsai, C.H., 2019. "Market price behavior of wholesale electricity products: Texas," Energy Policy, Elsevier, vol. 125(C), pages 418-428.
    4. Hagspiel, Simeon, 2017. "Reliable Electricity: The Effects of System Integration and Cooperative Measures to Make it Work," EWI Working Papers 2017-13, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    5. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2014. "Exact confidence sets and goodness-of-fit methods for stable distributions," Journal of Econometrics, Elsevier, vol. 181(1), pages 3-14.
    6. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    7. Akshaya Jha & Frank A. Wolak, 2019. "Can Financial Participants Improve Price Discovery and Efficiency in Multi-Settlement Markets with Trading Costs?," NBER Working Papers 25851, National Bureau of Economic Research, Inc.
    8. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    9. Gea-Bermúdez, Juan & Pade, Lise-Lotte & Koivisto, Matti Juhani & Ravn, Hans, 2020. "Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon," Energy, Elsevier, vol. 191(C).
    10. Woo, C.K. & Moore, J. & Schneiderman, B. & Ho, T. & Olson, A. & Alagappan, L. & Chawla, K. & Toyama, N. & Zarnikau, J., 2016. "Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets," Energy Policy, Elsevier, vol. 92(C), pages 299-312.
    11. Chi-Keung Woo & Ira Horowitz & Jay Zarnikau & Jack Moore & Brendan Schneiderman & Tony Ho & Eric Leung, 2016. "What Moves the Ex Post Variable Profit of Natural-Gas-Fired Generation in California?," The Energy Journal, , vol. 37(3), pages 29-57, July.
    12. Spindler, Christian & Woll, Oliver & Schober, Dominik, 2018. "Sharing is not caring: Backward integration of consumers," ZEW Discussion Papers 18-006, ZEW - Leibniz Centre for European Economic Research.

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