2011
DOI: 10.1177/1471082x1001100504
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Estimation of stable CARMA models with an application to electricity spot prices

Abstract: We discuss theoretical properties and estimation of continuous-time ARMA (CARMA) processes, which are driven by a stable Lévy process. Such processes are very useful in a continuous-time linear stationary setup: they have a similar structure as the widely used ARMA models, and provide all advantages of a continuous-time model. As an application we consider data from a deregulated electricity market. Here we t a CARMA(2,1) model to spot prices from the Singapore New Electricity Market. The quality of the estima… Show more

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Cited by 63 publications
(97 citation statements)
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“…More generally, we obtain a spot price dynamics in terms of so-called Lévy semistationary processes, which have gained recent attention in power markets (see Garcia et al. [28] for the special case of CARMA processes, and Barndorff-Nielsen et al [4]). These processes are also natural in modelling the temperature dynamics, and thus are relevant to weather forward prices.…”
Section: Spde) D F (T X) = (β(T T + X) + ∂ X F (T X))dt + (T T + mentioning
confidence: 99%
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“…More generally, we obtain a spot price dynamics in terms of so-called Lévy semistationary processes, which have gained recent attention in power markets (see Garcia et al. [28] for the special case of CARMA processes, and Barndorff-Nielsen et al [4]). These processes are also natural in modelling the temperature dynamics, and thus are relevant to weather forward prices.…”
Section: Spde) D F (T X) = (β(T T + X) + ∂ X F (T X))dt + (T T + mentioning
confidence: 99%
“…In the traditional set-up, one is modelling the logarithmic spot price dynamics by a finite sum of Ornstein-Uhlenbeck processes, each driven by a Lévy process. However, several papers also advocate to model the spot price dynamics directly by such a finite sum of Ornstein-Uhlenbeck processes (see, e.g., Benth et al [10] and Garcia et al [28] for the case of power). In a very simplistic setting, one starts out with a model…”
Section: Representing the Forwards By A Sum Of Ornstein-uhlenbeck Typmentioning
confidence: 99%
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“…We consider the cases p = 2 and p = 3, which seems to be of most practical interest (see e.g. Garcia, Klüppelberg and Müller [23] and Pasche and Prokopczuk [35] for a CARMA(2,1) model for power spot and crude oil futures prices, respectively, and Benth andŠaltytė Benth [4] and Härdle and Lopez-Cabrera [25] for CARMA(3,0) models applied to temperature dynamics.) Let us first consider the matrix…”
Section: A Pricing Measure Preserving Cointegrationmentioning
confidence: 99%
“…Recall that Garcia, Klüppelberg and Müller [23], Benth et al [7] and Paschke and Prokopczuk [35] showed empirically that power and oil prices follow a CARMA(2,1) dynamics. In Fig.…”
Section: Dsmentioning
confidence: 99%