Modelling Energy Markets with Extreme Spikes
Thorsten Schmidt ()
Additional contact information
Thorsten Schmidt: University of Leipzig, Department of Mathematics
A chapter in Mathematical Control Theory and Finance, 2008, pp 359-375 from Springer
Abstract:
Summary This paper suggests a new approach to model spot prices of electricity. It uses a shot-noise model to capture extreme spikes typically arising in electricity markets. Moreover, the model easily accounts for seasonality and mean reversion. We compute futures prices in closed form and show that the resulting shapes capture a large variety of typically observed term structures. For statistical purposes we show how to use the EM-algorithm. An estimation on spot price data from the European Energy Exchange illustrate the applicability of the model.
Keywords: Term Structure; Electricity Market; Electricity Price; Future Price; Martingale Measure (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-540-69532-5_20
Ordering information: This item can be ordered from
http://www.springer.com/9783540695325
DOI: 10.1007/978-3-540-69532-5_20
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().