Natural gas storage valuation is a challenging topic. It requires both appropriate price models and optimization models. We assume that each forward price follows a geometric Brownian motion process. Spot price also follows a geometric Brownian motion process, but its expectation changes from month to month. Since optimization models are independent of price simulations, alternative price models can be implemented in the valuation. Various models are used for storage valuation, including "intrinsic rolling with spot and forward", Monte Carlo simulation with ordinary least square regression, and Monte Carlo simulation with stochastic dual dynamic programming. The first methodology takes both forward and spot prices into account, while the other two methodologies only use spot price. The results show that many factors can impact the value of a storage, including the term structure of the forward prices, volatilities of forward and spot prices, and the operational flexibility of the storage.
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Natural gas storage valuation is a challenging topic. It requires both appropriate price models and optimization models. We assume that each forward price follows a geometric Brownian motion process. Spot price also follows a geometric Brownian motion process, but its expectation changes from month to month. Since optimization models are independent of price simulations, alternative price models can be implemented in the valuation. Various models are used for storage valuation, including "intrinsic rolling with spot and forward", Monte Carlo simulation with ordinary least square regression, and Monte Carlo simulation with stochastic dual dynamic programming. The first methodology takes both forward and spot prices into account, while the other two methodologies only use spot price. The results show that many factors can impact the value of a storage, including the term structure of the forward prices, volatilities of forward and spot prices, and the operational flexibility of the storage.
Currently, Mr. Yun Li is a Senior Quantitative Analyst at DTE Energy Trading. Mr. Li's work focuses on derivative pricing and asset valuation. Mr. Li earned a B.S. degree in Technical Physics from Beijing University and a M.S. degree in Quantitative and Computational Finance from Georgia Institute of Technology.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li YunCurrently, Mr. Yun Li is a Senior Quantitative Analyst at DTE nEnergy Trading. Mr. Li s work focuses on derivative pricing and nasset valuation. Mr. Li earned a B.S. degree in Technical nPhysics from Beijing University and a M. N° de réf. du vendeur 4964181
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Natural gas storage valuation is a challenging topic. It requires both appropriate price models and optimization models. We assume that each forward price follows a geometric Brownian motion process. Spot price also follows a geometric Brownian motion process, but its expectation changes from month to month. Since optimization models are independent of price simulations, alternative price models can be implemented in the valuation.Various models are used for storage valuation, including 'intrinsic rolling with spot and forward', Monte Carlo simulation with ordinary least square regression, and Monte Carlo simulation with stochastic dual dynamic programming. The first methodology takes both forward and spot prices into account, while the other two methodologies only use spot price. The results show that many factors can impact the value of a storage, including the term structure of the forward prices, volatilities of forward and spot prices, and the operational flexibility of the storage. N° de réf. du vendeur 9783639174663
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Taschenbuch. Etat : Neu. Natural Gas Storage Valuation | Yun Li | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639174663 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. N° de réf. du vendeur 101534839
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