Measuring Anti-Correlations in the Nordic Electricity Spot Market by Wavelets

dc.creatorSimonsen, Ingve
dc.date2001-08-02
dc.date2003-04-25
dc.date.accessioned2026-07-07T12:06:36Z
dc.date.available2026-07-07T12:06:36Z
dc.descriptionWe consider the Nordic electricity spot market from mid 1992 to the end of year 2000. This market is found to be well approximated by an anti-persistent self-affine (mean-reverting) walk. It is characterized by a Hurst exponent of $H\simeq 0.41$ over three orders of magnitude in time ranging from days to years. We argue that in order to see such a good scaling behavior, and to locate cross-overs, it is crucial that an analyzing technique is used that {\em decouples} scales. This is in our case achieved by utilizing a (multi-scale) wavelet approach. The shortcomings of methods that do not decouple scales are illustrated by applying, to the same dat a set, the classic $R/S$- and Fourier techniques, for which scaling regimes and/or positions of cross-overs are hard to define.
dc.descriptionLatex, 11 pages including 4 figures. To appear Physica A
dc.identifierhttps://arxiv.org/abs/cond-mat/0108033
dc.identifierhttp://arxiv.org/abs/cond-mat/0108033
dc.identifierPhysica A 322, 597 (2003).
dc.identifierdoi:10.1016/S0378-4371(02)01938-6
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208699
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Finance
dc.titleMeasuring Anti-Correlations in the Nordic Electricity Spot Market by Wavelets
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