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Short term forecasting of electricity prices for MISO hubs: Evidence from ARIMA-EGARCH models

  • Bowden, Nicholas
  • Payne, James E.

This study estimates three time series models (ARIMA, ARIMA-EGARCH, and ARIMA-EGARCH-M) for hourly real time electricity prices for each of the five hubs of the Midwest Independent System Operator (MISO) and examines the in- and out-of-sample forecasting performance of the respective models. The results from the ARIMA models reveal the presence of autoregressive conditional heteroskedasticity. Recognizing the possibility of asymmetric time-varying volatility, the EGARCH specification for the variance equation demonstrates the presence of an inverse leverage effect in electricity prices for each hub. With respect to forecasts, no one model clearly dominates the others in terms of in-sample forecasting performance based on four forecast evaluation statistics. However, the ARIMA-EGARCH-M model outperforms the other models (Michigan hub is the exception) in terms of the out-of-sample forecasting performance.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 30 (2008)
Issue (Month): 6 (November)
Pages: 3186-3197

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Handle: RePEc:eee:eneeco:v:30:y:2008:i:6:p:3186-3197
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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  1. Alvaro Escribano & J. Ignacio Peña & Pablo Villaplana, 2011. "Modelling Electricity Prices: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 622-650, October.
  2. Knittel, Christopher R. & Roberts, Michael R., 2005. "An empirical examination of restructured electricity prices," Energy Economics, Elsevier, vol. 27(5), pages 791-817, September.
  3. Hendrik Bessembinder & Michael L. Lemmon, 2002. "Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets," Journal of Finance, American Finance Association, vol. 57(3), pages 1347-1382, 06.
  4. Conejo, Antonio J. & Contreras, Javier & Espinola, Rosa & Plazas, Miguel A., 2005. "Forecasting electricity prices for a day-ahead pool-based electric energy market," International Journal of Forecasting, Elsevier, vol. 21(3), pages 435-462.
  5. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  6. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  7. Lester Hadsell, Achla Marathe and Hany A. Shawky, 2004. "Estimating the Volatility of Wholesale Electricity Spot Prices in the US," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 23-40.
  8. Cosimano, Thomas F & Jansen, Dennis W, 1988. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 409-21, August.
  9. Crespo Cuaresma, Jesús & Hlouskova, Jaroslava & Kossmeier, Stephan & Obersteiner, Michael, 2004. "Forecasting electricity spot-prices using linear univariate time-series models," Applied Energy, Elsevier, vol. 77(1), pages 87-106, January.
  10. Severin Borenstein, 2002. "The Trouble With Electricity Markets: Understanding California's Restructuring Disaster," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 191-211, Winter.
  11. Francis A. Longstaff & Ashley W. Wang, 2004. "Electricity Forward Prices: A High-Frequency Empirical Analysis," Journal of Finance, American Finance Association, vol. 59(4), pages 1877-1900, 08.
  12. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
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