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Kvantilregresjon×Realisert volatilitet og HAR-modellen×
FagfeltØkonometriFinans
FamilieRegression modelRegression model
Opprinnelsesår19782009
OpphavspersonKoenker & BassettCorsi (HAR model); Andersen, Bollerslev, Diebold & Labys (realized volatility)
TypeConditional quantile regressionTime-series regression of realized variance
Opprinnelig kildeKoenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174-196. DOI ↗
Aliasconditional quantile regression, regression quantiles, Kantil Regresyonrealized variance, HAR model, heterogeneous autoregressive model of realized volatility, HAR-RV
Relaterte55
SammendragQuantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.Realized volatility estimates an asset's variance directly from high-frequency intraday returns rather than from a parametric latent process. The Heterogeneous Autoregressive (HAR) model of Corsi (2009), building on the realized-volatility framework of Andersen, Bollerslev, Diebold and Labys (2003), forecasts this measure by combining daily, weekly, and monthly volatility components, and is a strong alternative to GARCH for volatility prediction.
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ScholarGateSammenlign metoder: Quantile Regression · Realized Volatility. Hentet 2026-06-18 fra https://scholargate.app/no/compare