Search results for "62m10"

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Futures pricing in electricity markets based on stable CARMA spot models

2012

We present a new model for the electricity spot price dynamics, which is able to capture seasonality, low-frequency dynamics and the extreme spikes in the market. Instead of the usual purely deterministic trend we introduce a non-stationary independent increments process for the low-frequency dynamics, and model the large uctuations by a non-Gaussian stable CARMA process. The model allows for analytic futures prices, and we apply these to model and estimate the whole market consistently. Besides standard parameter estimation, an estimation procedure is suggested, where we t the non-stationary trend using futures data with long time until delivery, and a robust L 1 -lter to nd the states of …

FOS: Computer and information sciencesEconomics and EconometricsElectricity spot pricebusiness.industryEstimation theoryRisk premium60G52 62M10 91B84 (Primary) 60G10 60G51 91B70 (Secondary)Lévy processStatistics - ApplicationsCARMA model electricity spot prices electricity forward prices continuous time linear model Lévy process stable CARMA process risk premium robust filterddc:MicroeconomicsFOS: Economics and businessGeneral EnergyBase load power plantPeak loadEconometricsEconomicsApplications (stat.AP)ElectricityPricing of Securities (q-fin.PR)businessFutures contractQuantitative Finance - Pricing of Securities
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Extracting Conditionally Heteroskedastic Components using Independent Component Analysis

2020

In the independent component model, the multivariate data are assumed to be a mixture of mutually independent latent components. The independent component analysis (ICA) then aims at estimating these latent components. In this article, we study an ICA method which combines the use of linear and quadratic autocorrelations to enable efficient estimation of various kinds of stationary time series. Statistical properties of the estimator are studied by finding its limiting distribution under general conditions, and the asymptotic variances are derived in the case of ARMA-GARCH model. We use the asymptotic results and a finite sample simulation study to compare different choices of a weight coef…

asymptotic normalityautocorrelationOriginal Articlesaikasarja-analyysiprincipal volatility componentARMA-GARCH processmonimuuttujamenetelmätblind source separationGARCH-mallit62m10ARMA‐GARCH processOriginal Articletilastolliset mallit60g10
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