IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2000_015.html
   My bibliography  Save this paper

The Hedging Performance of Electricity Futures on the Nordic Power Exchange Nord Pool

Author

Listed:
  • Byström , Hans

    () (Department of Economics, Lund University)

Abstract

The Nordic Power Exchange (Nord Pool), the first multinational exchange for electricity trading, has existed since January 1996. Spot and futures contracts are traded on this exchange and its typical characteristics are very high volatility as well as non-normally distributed returns. In this paper I look at electricity futures and how they can be used for short term hedging in the spot market. I study the minimum variance hedge ratio and how it can be estimated in different ways. The traditional naive hedge and the OLS hedge are compared out-of-sample to more elaborate moving average and GARCH hedges. The empirical results indicate some gains from hedging with futures despite the lack of straight-forward arbitrage possibilities in the electricity market. Furthermore, I find that the relative performance of the different variance minimizing hedges depends on whether unconditional or conditional variances are studied.

Suggested Citation

  • Byström , Hans, 2000. "The Hedging Performance of Electricity Futures on the Nordic Power Exchange Nord Pool," Working Papers 2000:15, Lund University, Department of Economics.
  • Handle: RePEc:hhs:lunewp:2000_015
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    electricity prices; hedging.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hhs:lunewp:2000_015. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Edgerton). General contact details of provider: http://edirc.repec.org/data/delunse.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.