Assessing the influence of spot price predictability on electricity futures hedging
Hipolit Torro
MPRA Paper from University Library of Munich, Germany
Abstract:
A common feature of energy prices is that spot price changes are partially predictable due to weather and demand seasonalities. This paper follows the Ederington and Salas (2008) framework and considers the expected change in spot prices when minimum variance hedge ratios are computed. The poor effectiveness of hedging strategies obtained in previous studies on electricity was because the standard hedging approach underestimates the effectiveness of hedging. In the empirical study made in this paper, weekly spot price risk is hedged with weekly futures in the Nord Pool electricity market. In this case, the optimal selection of the futures contract may produce risk reductions whose values vary between 60% and 80% – depending on the hedging duration (one to three weeks) and the analysed sub-period (in-sample and out-of-sample sub-periods).
Keywords: electricity markets; futures; hedging ratio; electricity price risk (search for similar items in EconPapers)
JEL-codes: G11 G13 L94 (search for similar items in EconPapers)
Date: 2009-03-31
New Economics Papers: this item is included in nep-ene and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/18892/1/MPRA_paper_18892.pdf original version (application/pdf)
Related works:
Journal Article: Assessing the influence of spot price predictability on electricity futures hedging 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:18892
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().