Fundamental Drivers of Electricity Prices in the Pacific Northwest

Chi-Keung Woo*, Ira Horowitz, Nate Toyama, Arne Olson, Aaron Lai, Ray Wan

*Corresponding author for this work

    Research output: Chapter in book/report/conference proceedingChapterpeer-review

    14 Citations (Scopus)

    Abstract

    We estimate an AR(1)/GARCH(1, 1) model that shows the impact of natural-gas prices, hydro conditions, and temperatures on wholesale on-peak electricity prices at the Mid-Columbia (Mid-C) trading hub in the Pacific Northwest of the United States. After controlling for the effects of these three factors, prices are seen to exhibit a weak seasonal pattern, but a strong day-of-week pattern. It is also shown that price spikes can persist for several days. Finally, in support of the GARCH hypothesis, Mid-C prices are seen to have a time-dependent variance that primarily moveswith natural-gas prices, and that large price variances tend to persist. Thus, even though buyersmight cross hedge using natural-gas futures and temperature-based weather futures, the effectiveness of any hedge is compromised by randomness in hydro conditions. To be sure, a buyer can eliminate the electricity price risk by entering into a forward contract, but only at the expense of what is likely to be a large risk premium embodied in the forward price.

    Original languageEnglish
    Title of host publicationAdvances In Quantitative Analysis Of Finance And Accounting (Volume 5)
    EditorsCheng-Few Lee
    PublisherWorld Scientific Publishing Co.
    Pages299-323
    Number of pages25
    ISBN (Electronic)9789812772213, 9789814475549
    ISBN (Print)9789812706287
    DOIs
    Publication statusPublished - Jul 2007

    Publication series

    NameAdvances In Quantitative Analysis Of Finance And Accounting
    PublisherWorld Scientific Publishing Co.
    Volume5
    ISSN (Print)1793-0952

    Scopus Subject Areas

    • Economics, Econometrics and Finance(all)
    • Business, Management and Accounting(all)

    User-Defined Keywords

    • GARCH
    • Price volatility
    • Electricity

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