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Titlebook: Investment in Energy Assets Under Uncertainty; Numerical methods in L.M. Abadie,J.M. Chamorro Book 2013 Springer-Verlag London 2013 Binomia

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书目名称Investment in Energy Assets Under Uncertainty
副标题Numerical methods in
编辑L.M. Abadie,J.M. Chamorro
视频video
概述Provides a rigorous yet pragmatic approach to the valuation and management of investments in the energy sector.Clearly explains how to implement numerical methods in a meaningful way for real world ap
丛书名称Lecture Notes in Energy
图书封面Titlebook: Investment in Energy Assets Under Uncertainty; Numerical methods in L.M. Abadie,J.M. Chamorro Book 2013 Springer-Verlag London 2013 Binomia
描述.This book aims to provide a rigorous yet pragmatic approach to the valuation and management of investments in the energy sector. .Time and uncertainty pervade most if not all issues relevant to energy assets. They run from the early stage of prototype and demonstration to the ultimate abandonment and decommissioning. .Risk in particular appears in several areas; thus, one can distinguish technical risk from financial risk. Furthermore, the extent to which one can react to them is different (just think of price risk and regulation risk). Markets in general, and financial markets in particular, regularly put a price on a number of assets which differ in their return/risk characteristics. And academia has developed sound financial principles for valuation purposes in a number of contexts. .Nonetheless, the physical characteristics of the assets involved also play a key role in their valuation if only because of the restrictions that they entail..There are some instances in which the practitioner/researcher is able to come up with an analytical solution to the valuation problem. Typically, however, these instances are limited because of their relying on stylized facts or idealized fra
出版日期Book 2013
关键词Binomial and Trinomial Lattices; Coal-Fired and Natural Gas-Fired Power Plant; Discrete and Continuous
版次1
doihttps://doi.org/10.1007/978-1-4471-5592-8
isbn_softcover978-1-4471-7029-7
isbn_ebook978-1-4471-5592-8Series ISSN 2195-1284 Series E-ISSN 2195-1292
issn_series 2195-1284
copyrightSpringer-Verlag London 2013
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Theoretical Foundationsilibrium arguments; the Capital Asset Pricing Model is one such model. Next we move to pricing methods particularly suitable for derivative assets (like options and futures contracts). These methods rest on a market structure that is sufficiently complete in that replicating portfolios are readily a
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Valuation of Energy Assets: A Single Risk Factorsk factors. Along the way we discuss the numerical results and shed light on causality relations among the variables. We also undertake several comparisons between homologous scenarios as an initially deterministic variable turns into stochastic. In particular we assess how the change affects both v
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Valuation of Energy Assets: Three Risk Factorsof the three volatilities, on the other. The second case concerns a coal-fired station when coal, electricity, and carbon prices evolve stochastically over time. As usual, numerical estimates of the underlying parameters in the three commodity price processes have been computed from futures prices.
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