Volatility of power markets
Ingve Simonsen
Physica A: Statistical Mechanics and its Applications, 2005, vol. 355, issue 1, 10-20
Abstract:
Volatility features of the Nordic day ahead power spot market for a 12-year period up till May 2004 are studied. The daily logarithmic volatility was measured for this period to be about 16%. This level is well above what is observed for most other well-studied financial markets. Volatility clustering, log-normal distribution, and long-range correlations are found to be striking features of the volatility of power markets. In addition, a cyclic behavior of the time-dependent volatility can be observed for the Nordic power market. Furthermore, the volatility shows a dependence on the price level, and this is pronounced mostly when the spot price is low. The correlation in volatility is consistent with an inverse power-law decay, τ-ν, superposed on an oscillating term. The numerical value of the exponent ν is similar to what has been reported previously for stock markets.
Keywords: Volatility; Electricity markets; Deregulation; Econophysics; Interdisciplinary physics (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105002712
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:phsmap:v:355:y:2005:i:1:p:10-20
DOI: 10.1016/j.physa.2005.02.062
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().