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Electricity Derivatives Pricing with Forward-Looking Information

  • Füss, Roland

    ()

  • Mahringer, Steffen

    ()

  • Prokopczuk, Marcel

    ()

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.

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File URL: http://ux-tauri.unisg.ch/RePEc/usg/sfwpfi/WPF-1317.pdf
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Paper provided by University of St. Gallen, School of Finance in its series Working Papers on Finance with number 1317.

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Length: 64 pages
Date of creation: Mar 2013
Date of revision:
Handle: RePEc:usg:sfwpfi:2013:17
Contact details of provider: Phone: +41 71 243 40 11
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Web page: http://www.unisg.ch/de/universitaet/schools/finance

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