Mean-reverting no-arbitrage additive models for forward curves in energy markets
Luca Latini,
Marco Piccirilli and
Tiziano Vargiolu
Energy Economics, 2019, vol. 79, issue C, 157-170
Abstract:
In this paper we present an additive no-arbitrage model for energy forward markets capable to exhibit mean-reversion. The model naturally incorporates term structures for both the mean-reversion level and the volatility of forward prices and it is able to reproduce the seasonalities empirically observed in gas and power markets. We also present a method to estimate the model parameters, based on quadratic variation/covariation for the volatility and on constrained maximum-likelihood estimation for the mean-reversion speed and level. We apply this technique to time series of Phelix Base forward products.
Keywords: Additive models for energy forward contracts; Mean-reversion; Heath-Jarrow-Morton methodology; Term structure of volatility; Quadratic variation/covariation; Maximum likelihood estimation (search for similar items in EconPapers)
JEL-codes: C13 C14 C32 Q40 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014098831830080X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:79:y:2019:i:c:p:157-170
DOI: 10.1016/j.eneco.2018.03.001
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().