Accounting for Extreme Values in GARCH Forecasts of Day-Ahead Electricity Prices

  • Guirguis Hany S. (Dept. of Economic and Finance, School of Business, Manhattan College) ;
  • Felder Frank A. (The State University of New Jersy)
  • Published : 2005.09.01

Abstract

We employ a new technique to account for extreme values when using the generalized autoregressive conditionally heteroskedastic (GARCH) methodology to forecast day-ahead electricity prices in New York City.

Keywords

References

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