rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Investment in Energy Assets Under Uncertainty
    sub title: Numerical methods in theory and practice
  name:
    name part: Abadie, L.M.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Chamorro, J.M.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 187 p. 34 illus. online resource.
  abstract: 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 frameworks. Unfortunately, many relevant instances lack analytical solutions, so one must resort to numerical methods. The book clearly explains how to implement them in a meaningful way. Their usefulness is further enhanced when numerical estimates of relevant parameters are derived from actual market prices (as long as these are available and reliable). The book starts from the basics of valuation in a dynamic, certain context. The second part then considers uncertainty and introduces a number of useful results and tools to grapple effectively with it. The last part applies these tools to the valuation of energy assets in a sequential manner, i.e. by considering one, two and three sources of risk. The last chapter provides examples of joint optimal management and value maximization in conventio…
  table of contents: Valuation made simple: No uncertainties, just time -- Theoretical foundations -- Analytical solutions -- Binomial lattices -- Finite difference methods -- Monte Carlo simulation -- Economic and technical background -- Valuation of energy assets: A single risk factor -- Valuation of energy assets: Two risk factors -- Valuation of energy assets: Three risk factors -- Value maximization and optimal management of energy assets.
  note: by L.M. Abadie, J.M. Chamorro.
  subject:
    topic: Energy
  subject:
    topic: Energy policy
  subject:
    topic: Energy and state
  subject:
    topic: Finance
  subject:
    topic: Energy industries
  subject:
    topic: Energy
  subject:
    topic: Energy Policy, Economics and Management
  subject:
    topic: Energy Economics
  subject:
    topic: Finance, general
  classification: HD9502-9502.5
  classification: 333.79
  classification: 338.926
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Energy, 21
  identifier: 9781447155928
  identifier: http://dx.doi.org/10.1007/978-1-4471-5592-8
  record info:
    record creation date: 131111
    record change date: 20151204174218.0
    record identifier: 978-1-4471-5592-8