An hour-ahead prediction model for heavy-tailed spot prices
AbstractWe propose an hour-ahead prediction model for electricity prices that capture the heavy tailed behavior that we observe in the hourly spot market in the Ercot (Texas) and the PJM West hub grids. We present a model according to which we separate the price process into a thin-tailed trailing median process and a heavy-tailed residual process whose probability distribution can be approximated by a Cauchy distribution. We show empirical evidence that supports our model.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 33 (2011)
Issue (Month): 6 ()
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Web page: http://www.elsevier.com/locate/eneco
Heavy-tail; Median-reversion; Mean-reversion; Electricity spot market;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
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- Coulon, Michael & Powell, Warren B. & Sircar, Ronnie, 2013. "A model for hedging load and price risk in the Texas electricity market," Energy Economics, Elsevier, vol. 40(C), pages 976-988.
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