Modeling Term Structure Dynamics in the Nordic Electricity Swap Market
Dennis Frestad,
Fred Espen Benth and
Steen Koekebakker ()
The Energy Journal, 2010, vol. Volume 31, issue Number 2, 53-86
Abstract:
We analyze the daily returns of Nordic electricity swaps and identify significant risk premia in the short end of the market. On average, long positions in this part of the swap market yield negative returns. The daily returns are distinctively non-normal in terms of tail-fatness, but we find little evidence of asymmetry. We investigate if the flexible four-parameter class of normal inverse Gaussian (NIG) distributions can capture the observed stylized facts and find that this class of distributions offers a remarkably improved fit relative to the normal distribution. We also compare the fit with that of the four-parameter class of stable distributions; the NIG law outperforms the stable law in the vast majority of cases. Thus, the NIG family of distributions, which allows for stochastic dynamics in terms of LŽvy processes that are suitable for pricing derivatives and Value-at-Risk measurements, is a serious candidate for modeling term structure dynamics in the Nordic electricity market.
JEL-codes: F0 (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=2378 (text/html)
Access to full text is restricted to IAEE members and subscribers.
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:aen:journl:2010v31-02-a03
Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx
Access Statistics for this article
More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().