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Forecasting Italian Electricity Zonal Prices with Exogenous Variables

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  • Angelica Gianfreda

    (Department of Economics (University of Verona))

  • Luigi Grossi

    (Department of Economics (University of Verona))

Abstract

In the last few years we have observed deregulation in electricity markets and an increasing interest of price dynamics has been developed especially to consider all stylized facts shown by spot prices. Only few papers have considered the Italian Electricity Spot market since it has been deregulated recently. Therefore, this contribution is an investigation with emphasis on price dynamics accounting for technologies, market concentration and congestions. We aim to understand how technologies, concentration and congestions affect the zonal prices since these ones combine to bring about the single national price (prezzo unico d’acquisto, PUN). Hence, understanding its features is important for drawing policy indications referred to production planning and selection of generation sources, pricing and risk–hedging problems, monitoring of market power positions and finally to motivate investment strategies in new power plants and grid interconnections. Implementing Reg–ARFIMA–GARCH models, we assess the forecasting performance of selected models showing that they perform better when these factors are considered.

Suggested Citation

  • Angelica Gianfreda & Luigi Grossi, 2011. "Forecasting Italian Electricity Zonal Prices with Exogenous Variables," Working Papers 01/2011, University of Verona, Department of Economics.
  • Handle: RePEc:ver:wpaper:01/2011
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    More about this item

    Keywords

    Electricity prices; Production technologies; Market power (HHI; RSI); Congestions; Fractional Integration; Forecasting;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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