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2023
Journal Article
Title

New proxy schemes for swing contracts

Abstract
This paper considers the valuation of swing contracts for energy markets using semianalytical proxies. Using accurate Monte Carlo or finite-difference methods is computationally expensive. Therefore, different approximations have been introduced in the literature: for example, Keppo’s method replicates the swing contract by forwards and call options. We develop Keppo’s method further by introducing two new schemes that build on this approach. Our first methodology adds the probability of exercising the option to the constraints. Our second approach, where the quantities depend on the actual spot level, goes one step further such that the constraints on the total amount are satisfied in a weak sense, which leads to an upper bound for the price. We perform several numerical experiments with a one-factor Lucia–Schwartz model to show the improved quality of the numerical results for different contract parameters. Both of our methods yield a more accurate calculated price than the commonly used approach while retaining its computational advantage.
Author(s)
Koster, Frank
Oeltz, Daniel  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Steffens, Angelina
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Journal
Journal of Energy Markets  
DOI
10.21314/JEM.2024.002
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • constrained optimization

  • derivative pricing

  • energy markets

  • numerical approximation

  • risk management

  • swing options

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