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Mathematics and Financial Economics

, Volume 13, Issue 4, pp 543–577 | Cite as

Mean-reverting additive energy forward curves in a Heath–Jarrow–Morton framework

  • Fred Espen Benth
  • Marco PiccirilliEmail author
  • Tiziano Vargiolu
Article
  • 110 Downloads

Abstract

In this paper, we make the traditional modeling approach of energy commodity forwards consistent with no-arbitrage. In fact, traditionally energy prices are modeled as mean-reverting processes under the real-world probability measure \(\mathbb {P}\), which is in apparent contradiction with the fact that they should be martingales under a risk-neutral measure \(\mathbb {Q}\). The key point here is that the two dynamics can coexist, provided a suitable change of measure is defined between \(\mathbb {P}\) and \(\mathbb {Q}\). To this purpose, we design a Heath–Jarrow–Morton framework for an additive, mean-reverting, multicommodity market consisting of forward contracts of any delivery period. Even for relatively simple dynamics, we face the problem of finding a density between \(\mathbb {P}\) and \(\mathbb {Q}\), such that the prices of traded assets like forward contracts are true martingales under \(\mathbb {Q}\) and mean-reverting under \(\mathbb {P}\). Moreover, we are also able to treat the peculiar delivery mechanism of forward contracts in power and gas markets, where the seller of a forward contract commits to deliver, either physically or financially, over a certain period, while in other commodity, or stock, markets, a forward is usually settled on a maturity date. By assuming that forward prices can be represented as affine functions of a universal source of randomness, we can completely characterize the models which prevent arbitrage opportunities by formulating conditions under which the change of measure between \(\mathbb {P}\) and \(\mathbb {Q}\) is well defined. In this respect, we prove two results on the martingale property of stochastic exponentials. The first allows to validate measure changes made of two components: an Esscher-type density and a Girsanov transform with stochastic and unbounded kernel. The second uses a different approach and works for the case of continuous density. We show how this framework provides an explicit way to describe a variety of models by introducing, in particular, a generalized Lucia–Schwartz model and a cross-commodity cointegrated market.

Keywords

Energy markets Mean-reversion Heath–Jarrow–Morton approach Forwards Martingale property 

Mathematics Subject Classification

60G44 60G51 91G20 91B70 

JEL Classification

C32 G13 Q02 

Notes

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Fred Espen Benth
    • 1
  • Marco Piccirilli
    • 2
    Email author
  • Tiziano Vargiolu
    • 2
  1. 1.Department of MathematicsUniversity of OsloOsloNorway
  2. 2.Department of MathematicsUniversity of PadovaPaduaItaly

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