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Electricity derivatives pricing with forward-looking information
Affiliation:1. Swiss Institute of Banking and Finance (s/bf), University of St. Gallen, Rosenbergstr. 52, 9000 St. Gallen, Switzerland;2. Centre for European Research (ZEW), Mannheim, Germany;3. University of St. Gallen, Rosenbergstr. 52, 9000 St. Gallen, Switzerland;4. School of Economics and Management, Leibniz University Hannover, Königsworther Platz 1, 30167 Hannover, Germany;5. ICMA Centre, Henley Business School, University of Reading, RG6 6BA, UK;1. Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, United States;2. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, United States;1. Department of Mathematics and CITIC, University of A Coruña, Campus Elviña s/n, 15071 A Coruña, Spain;2. Lehrstuhl für Angewandte Mathematik und Numerische Analysis, Fakultät 4-Mathematik und Naturwissenschaften, Bergische Universität Wuppertal, Gauss-Strasse 20, 42119 Wuppertal, Germany
Abstract:In order to increase overall transparency on key operational information, power transmission system operators publish an increasing amount of fundamental data, including forecasts of electricity demand and available capacity. We employ a fundamental model for electricity prices which lends itself well to integrating such forecasts, while retaining ease of implementation and tractability to allow for analytic derivatives pricing formulae. In an extensive futures pricing study, the pricing performance of our model is shown to further improve based on the inclusion of electricity demand and capacity forecasts, thus confirming the general importance of forward-looking information for electricity derivatives pricing. However, we also find that the usefulness of integrating forecast data into the pricing approach is primarily limited to those periods during which electricity prices are highly sensitive to demand or available capacity, whereas the impact is less visible when fuel prices are the primary underlying driver to prices instead.
Keywords:Electricity futures  Fundamental model  Derivatives pricing  Forward-looking information  Enlargement of filtrations
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