European electricity markets have been subject to a broad deregulation process in the last few decades. We analyse hedging policies implemented through different hedge ratios estimation. More specifically we compare naïve, ordinary least squares, and GARCH conditional variance and correlations models to test if GARCH models lead to higher variance reduction in a context of high time varying volatility as the case of electricity markets. Our results show that the choice of the hedge ratio estimation model is central on determining the effectiveness of futures hedging to reduce the portfolio volatility. © 2009 Elsevier B.V.
Hedging with futures: efficacy of GARCH correlation models to European electricity markets
Zanotti, Giovanna;Gabbi, Giampaolo;Geranio, Manuela
2010
Abstract
European electricity markets have been subject to a broad deregulation process in the last few decades. We analyse hedging policies implemented through different hedge ratios estimation. More specifically we compare naïve, ordinary least squares, and GARCH conditional variance and correlations models to test if GARCH models lead to higher variance reduction in a context of high time varying volatility as the case of electricity markets. Our results show that the choice of the hedge ratio estimation model is central on determining the effectiveness of futures hedging to reduce the portfolio volatility. © 2009 Elsevier B.V.File | Dimensione | Formato | |
---|---|---|---|
Hedging with futures(def).pdf
non disponibili
Tipologia:
Pdf editoriale (Publisher's layout)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
387.16 kB
Formato
Adobe PDF
|
387.16 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.