Article ID Journal Published Year Pages File Type
964286 Journal of International Financial Markets, Institutions and Money 2010 14 Pages PDF
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.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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