IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v32y2010i4p771-778.html
   My bibliography  Save this article

Efficiency of financial transmission rights markets in centrally coordinated periodic auctions

Author

Listed:
  • Adamson, Seabron
  • Noe, Thomas
  • Parker, Geoffrey

Abstract

Electricity market design in the United States is increasingly dominated by locational marginal pricing (LMP) of energy and transmission. LMP markets are typically coupled with periodic auctions of financial transmission rights (FTRs) to hedge transmission price risks. While LMP designs offer considerable advantages, forward price discovery in these markets requires participants to form efficient expectations on spot congestion price differences. In this paper, we examine trends in the efficiency of one of the early LMP markets, the New York Independent System Operator (NYISO), analyzing a panel data set of over 9000 contracts over a six-year period beginning September 2000. We show that NYISO FTR markets were inefficient in their early years, but that market participants learned to predict forward prices and thus efficiency improved for FTRs not solely within the New York City/Long Island sub-region. FTRs within this sub-region, which has a number of special characteristics, remain relatively inefficient.

Suggested Citation

  • Adamson, Seabron & Noe, Thomas & Parker, Geoffrey, 2010. "Efficiency of financial transmission rights markets in centrally coordinated periodic auctions," Energy Economics, Elsevier, vol. 32(4), pages 771-778, July.
    • Handle: RePEc:eee:eneeco:v:32:y:2010:i:4:p:771-778
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140-9883(10)00051-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Engel, Charles, 1996. "The forward discount anomaly and the risk premium: A survey of recent evidence," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 123-192, June.
    2. Hadsell, Lester & Shawky, Hany A., 2009. "Efficiency and Profit in the NYISO Transmission Congestion Contract Market," The Electricity Journal, Elsevier, vol. 22(9), pages 47-57, November.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Charles J. Corrado & Tie Su, 1996. "Skewness And Kurtosis In S&P 500 Index Returns Implied By Option Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(2), pages 175-192, June.
    5. Hogan, William W, 1992. "Contract Networks for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 4(3), pages 211-242, September.
    6. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    7. Charles J. Corrado & Tie Su, 1996. "Skewness And Kurtosis In S&P 500 Index Returns Implied By Option Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(2), pages 175-192, June.
    8. Bessembinder, Hendrik, 1992. "Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets," The Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 637-667.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Birge, John R. & Hortaçsu, Ali & Mercadal, Ignacia & Pavlin, J. Michael, 2018. "Limits to arbitrage in electricity markets: A case study of MISO," Energy Economics, Elsevier, vol. 75(C), pages 518-533.
    2. Leslie, Gordon W., 2021. "Who benefits from ratepayer-funded auctions of transmission congestion contracts? Evidence from New York," Energy Economics, Elsevier, vol. 93(C).
    3. Deng, Shi-Jie & Oren, Shmuel & Meliopoulos, A.P., 2010. "The inherent inefficiency of simultaneously feasible financial transmission rights auctions," Energy Economics, Elsevier, vol. 32(4), pages 779-785, July.
    4. Wobben, Magnus & Dieckmann, Birgit & Reichmann, Oleg, 2012. "Valuation of physical transmission rights—An analysis of electricity cross-border capacities between Germany and the Netherlands," Energy Policy, Elsevier, vol. 42(C), pages 174-180.
    5. Wu, Zhongqun & Zheng, Ruijin, 2022. "Research on the impact of financial transmission rights on transmission expansion: A system dynamics model," Energy, Elsevier, vol. 239(PA).
    6. Gauthier, Geneviève & Godin, Frédéric & Trudeau, Gabrielle, 2023. "Pricing inconsistency between the futures and Financial Transmission Right markets in North America," Energy Economics, Elsevier, vol. 126(C).
    7. Michael G. Pollitt, 2011. "Lessons from the History of Independent System Operators in the Energy Sector, with applications to the Water Sector," Working Papers EPRG 1125, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Pollitt, Michael G., 2012. "Lessons from the history of independent system operators in the energy sector," Energy Policy, Elsevier, vol. 47(C), pages 32-48.
    9. Bertsch, Joachim, 2015. "Is an inefficient transmission market better than none at all? On zonal and nodal pricing in electricity systems," EWI Working Papers 2015-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Brandão, Lucas G.L. & Ehrl, Philipp, 2022. "The impact of transmission auctions on Brazilian electric power companies," Utilities Policy, Elsevier, vol. 78(C).
    11. Michael G. Pollitt, 2023. "Locational Marginal Prices (LMPs) for electricity in Europe? The untold story," Working Papers EPRG2318, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    12. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fiorentini, Gabriele & Leon, Angel & Rubio, Gonzalo, 2002. "Estimation and empirical performance of Heston's stochastic volatility model: the case of a thinly traded market," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 225-255, March.
    2. Engstrom, Malin, 2002. "Do Swedes smile? On implied volatility functions," Journal of Multinational Financial Management, Elsevier, vol. 12(4-5), pages 285-304.
    3. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    4. Steven L. Heston & Alberto G. Rossi, 2017. "A Spanning Series Approach to Options," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 7(1), pages 2-42.
    5. Matos, Paulo Rogério Faustino & Costa, Carlos Eugênio da & Issler, João Victor, 2007. "The forward- and the equity-premium puzzles: two symptoms of the same illness?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 649, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. F. Cavalli & A. Naimzada & N. Pecora & M. Pireddu, 2021. "Market sentiment and heterogeneous agents in an evolutive financial model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1189-1219, September.
    7. Adrien Verdelhan, 2018. "The Share of Systematic Variation in Bilateral Exchange Rates," Journal of Finance, American Finance Association, vol. 73(1), pages 375-418, February.
    8. Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk, 2010. "Midquotes or Transactional Data? The Comparison of Black Model on HF Data," Working Papers 2010-15, Faculty of Economic Sciences, University of Warsaw.
    9. Jonathan Kearns, 2007. "Commodity Currencies: Why Are Exchange Rate Futures Biased if Commodity Futures Are Not?," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 60-73, March.
    10. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2020. "Integrated dynamic models for hedging international portfolio risks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 48-65.
    11. Pierre-Edouard Arrouy & Sophian Mehalla & Bernard Lapeyre & Alexandre Boumezoued, 2020. "Jacobi Stochastic Volatility factor for the Libor Market Model," Working Papers hal-02468583, HAL.
    12. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    13. Drakos, Konstantinos, 2003. "The term structure of deviations from the interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(1), pages 57-67, February.
    14. Newbery, David & Pollitt, Michael G. & Ritz, Robert A. & Strielkowski, Wadim, 2018. "Market design for a high-renewables European electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 695-707.
    15. Pierre-Edouard Arrouy & Alexandre Boumezoued & Bernard Lapeyre & Sophian Mehalla, 2022. "Jacobi stochastic volatility factor for the LIBOR market model," Finance and Stochastics, Springer, vol. 26(4), pages 771-823, October.
    16. Gangadhar Nayak & Subhranshu Sekhar Tripathy & Agbotiname Lucky Imoize & Chun-Ta Li, 2024. "Application of Extended Normal Distribution in Option Price Sensitivities," Mathematics, MDPI, vol. 12(15), pages 1-18, July.
    17. 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.
    18. Richard Harris & C. Coskun Kucukozmen & Fatih Yilmaz, 2004. "Skewness in the conditional distribution of daily equity returns," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 195-202.
    19. Gabriele Fiorentini & Angel León & Gonzalo Rubio, "undated". "Short-term options with stochastic volatility: Estimation and empirical performance," Studies on the Spanish Economy 02, FEDEA.
    20. Wang, Changyun, 2004. "Futures trading activity and predictable foreign exchange market movements," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1023-1041, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:32:y:2010:i:4:p:771-778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.