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Realized volatility and price spikes in electricity markets: The importance of observation frequency

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  • Ullrich, Carl J.
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    Abstract

    This paper uses high frequency spot price data from eight wholesale electricity markets in Australia, Canada, and the United States to estimate realized volatility and the frequency of price spikes. I find similar levels of realized volatility in Australia and North America, with estimates ranging from 1500% to 2700%, much greater than estimates reported previously in the literature. In hourly data, the frequency of price spikes ranges from approximately 35% to 40% in seven of eight markets. I present evidence that increasing the lag length in the calculation of bipower variation improves jump detection in electricity prices.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0140988312001399
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Economics.

    Volume (Year): 34 (2012)
    Issue (Month): 6 ()
    Pages: 1809-1818

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    Handle: RePEc:eee:eneeco:v:34:y:2012:i:6:p:1809-1818

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    Web page: http://www.elsevier.com/locate/eneco

    Related research

    Keywords: Realized volatility; Bipower variation; Observation frequency; Electricity markets; Price spikes;

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    References

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    14. Goto, Mika & Karolyi, G. Andrew, 2004. "Understanding Electricity Price Volatility within and across Markets," Working Paper Series 2004-12, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    15. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(1), pages 1-37.
    16. H�lyette Geman & Andrea Roncoroni, 2006. "Understanding the Fine Structure of Electricity Prices," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1225-1262, May.
    17. Geman, Hélyette & Roncoroni, Andréa, 2006. "Understanding the Fine Structure of Electricity Prices," Economics Papers from University Paris Dauphine 123456789/1433, Paris Dauphine University.
    18. Mount, Timothy D. & Ning, Yumei & Cai, Xiaobin, 2006. "Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters," Energy Economics, Elsevier, vol. 28(1), pages 62-80, January.
    19. Zareipour, Hamidreza & Bhattacharya, Kankar & Canizares, Claudio A., 2007. "Electricity market price volatility: The case of Ontario," Energy Policy, Elsevier, vol. 35(9), pages 4739-4748, September.
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    Cited by:
    1. Haugom, Erik & Ullrich, Carl J., 2012. "Forecasting spot price volatility using the short-term forward curve," Energy Economics, Elsevier, vol. 34(6), pages 1826-1833.

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