• DocumentCode
    1610917
  • Title

    Analysis of Electricity Prices Volatility Based on Multicycle GARCH-M Model

  • Author

    Zhao, Yuan-qing ; Wang, Rui-qing

  • Author_Institution
    Anyang Normal Univ., Anyang, China
  • fYear
    2012
  • Firstpage
    612
  • Lastpage
    615
  • Abstract
    The volatility of electricity price is the important information for the risk management of power markets and the pricing of power financial derivatives. A GARCH-M model in which the multi-cycle properties of electricity price series are described by dummy variable and sine function is proposed. The model is easy to select the order, and holds parsimonious scale of estimated parameters and high practical application value. The numerical example based on the historical data of the PJM market shows that the hetero-scedasticity and the load squares have a significant effect on the mean electricity price, and there exists volatility clustering.
  • Keywords
    autoregressive processes; parameter estimation; pattern clustering; power engineering computing; power markets; pricing; risk management; PJM market; dummy variable; electricity price series multicycle property; electricity price volatility analysis; generalized autoregressive conditional heteroskedasticity; hetero-scedasticity; load squares; mean electricity price; multicycle GARCH-M model; parameter estimation; power financial derivative pricing; power markets; risk management; sine function; volatility clustering; Industrial control; GARCH-M model; electricity price; multi-cycle; volatility clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.166
  • Filename
    6322455