2008
DOI: 10.21314/jem.2008.002
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Estimating high quantiles for electricity prices by stable linear models

Abstract: We estimate conditional and unconditional high quantiles for electricity spot prices based on a linear model with stable innovations. This approach captures the impressive peaks in such data and, as a four-parametric family captures also the assymmetry in the innovations. Moreover, it allows for explicit formulas of quantiles, which can then be calculated recursively from day to day. We also prove that conditional quantiles of step h ∈ N converge for h → ∞ to the corresponding unconditional quantiles. The pape… Show more

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Cited by 15 publications
(25 citation statements)
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“…However, in the theoretical considerations, we stick to the arithmetic model, and leave the analysis of the geometric case to Section 8.1. We note that Bernhardt et al (2008) proposed and argued statistically for an arithmetic spot price model for Singapore electricity data. An arithmetic spot model will naturally lead to an arithmetic dynamics for the forward price.…”
Section: Remarkmentioning
confidence: 95%
See 1 more Smart Citation
“…However, in the theoretical considerations, we stick to the arithmetic model, and leave the analysis of the geometric case to Section 8.1. We note that Bernhardt et al (2008) proposed and argued statistically for an arithmetic spot price model for Singapore electricity data. An arithmetic spot model will naturally lead to an arithmetic dynamics for the forward price.…”
Section: Remarkmentioning
confidence: 95%
“…Such spot models for electricity have been suggested by Bernhardt et al (2008), with the driving noise being an α-stable Lévy process.…”
Section: Constructing a Spot Model From The Forward Modelmentioning
confidence: 99%
“…Another popular class of models is the continuous time autoregressive moving average (CARMA) processes. These have been applied in several studies to power prices, see Bernhard et al [7] and Benth et al [5]. A CARMA(p, q)-process, for p > q being natural numbers, is defined as follows.…”
Section: A Bivariate Volatility Modulated Volterra Process For the Spmentioning
confidence: 99%
“…These processes encompass many of the traditionally used models, like for example simple Gaussian Ornstein-Uhlenbeck processes. Continuous-time autoregressive moving average processes is a special class of LSS processes that has been used succesfully to model power prices (see Bernhard, Klüppelberg and Meyer-Brandis [7]). …”
Section: Introductionmentioning
confidence: 99%
“…For example, Bernhardt et al [23] and García et al [39] proposed and argued statistically for an arithmetic spot price model for Singapore electricity data. An arithmetic spot model will naturally lead to arithmetic dynamics for the futures price.…”
Section: T )mentioning
confidence: 99%