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Natural gas storage valuation and optimization: A real options application
Authors:Matt Thompson  Matt Davison  Henning Rasmussen
Institution:1. Queen's School of Business, Queen's University Kingston, Ontario, Canada K7L 3N6;2. Department of Applied Mathematics, The University of Western Ontario, London, Canada N6A 5B7;3. Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, Canada N6A 5B7
Abstract:In this article, we present an algorithm for the valuation and optimal operation of natural gas storage facilities. Real options theory is used to derive nonlinear partial‐integro‐differential equations (PIDEs), the solution of which give both valuation and optimal operating strategies for these facilities. The equations are designed to incorporate a wide class of spot price models that can exhibit the same time‐dependent, mean‐reverting dynamics, and price spikes as those observed in most energy markets. Particular attention is paid to the operational characteristics of real storage units. These characteristics include working gas capacities, variable deliverability and injection rates, and cycling limitations. We illustrate the model with a numerical example of a salt cavern storage facility that clearly shows how a gas storage facility is like a financial straddle with both put and call properties. Depending on the amount of gas in storage the relative influence of the put and call components vary. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009
Keywords:natural gas storage  optimization  dynamic programming
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