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Gas storage valuation applying numerically constructed recombining trees

  • Felix, Bastian Joachim
  • Weber, Christoph

The liberalization of European natural gas markets forces market participants to base their decisions on market prices. For owners and operators of natural gas storage facilities it is therefore necessary to take market prices into account for their decisions. In this framework this paper provides a new approach for the valuation of natural gas storage facilities. Using stochastic dynamic programming on multinomial recombining trees, the optimal storage strategy and value are determined. For this we (i) estimate the deterministic and random impacts on natural gas prices, (ii) simulate gas prices considering the results of the first step, (iii) construct numerically the recombining tree using the simulation results, (iv) determine the optimal storage strategy and value. Besides the determination of the optimal storage value and operation schedule the value quantiles are calculated. Via the quantiles relevant risk measures like value at risk and conditional value at risk are determined.

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Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 216 (2012)
Issue (Month): 1 ()
Pages: 178-187

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Handle: RePEc:eee:ejores:v:216:y:2012:i:1:p:178-187
Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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  1. Olivier Bardou & Sandrine Bouthemy & Gilles Pages, 2009. "Optimal Quantization for the Pricing of Swing Options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 183-217.
  2. Nicola Secomandi, 2010. "Optimal Commodity Trading with a Capacitated Storage Asset," Management Science, INFORMS, vol. 56(3), pages 449-467, March.
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  5. Bjerksund, Petter & Stensland, Gunnar & Vagstad, Frank, 2008. "Gas Storage Valuation: Price Modelling v. Optimization Methods," Discussion Papers 2008/20, Department of Business and Management Science, Norwegian School of Economics.
  6. Rene Carmona & Michael Ludkovski, 2010. "Valuation of energy storage: an optimal switching approach," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 359-374.
  7. Patrick Jaillet & Ehud I. Ronn & Stathis Tompaidis, 2004. "Valuation of Commodity-Based Swing Options," Management Science, INFORMS, vol. 50(7), pages 909-921, July.
  8. Byers, Joe Wayne, 2006. "Commodity storage valuation: A linear optimization based on traded instruments," Energy Economics, Elsevier, vol. 28(3), pages 275-287, May.
  9. Schlüter, Stephan & Davison, Matt, 2010. "Pricing an European gas storage facility using a continuous-time spot price model with GARCH diffusion," IWQW Discussion Paper Series 02/2010, Friedrich-Alexander-Universität Erlangen-Nürnberg, Institut für Wirtschaftspolitik und Quantitative Wirtschaftsforschung (IWQW).
  10. Kjarstad, Jan & Johnsson, F., 2007. "Prospects of the European gas market," Energy Policy, Elsevier, vol. 35(2), pages 869-888, February.
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