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Exponential GARCH (EGARCH)×Kvantilregression×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19911978
OphavspersonNelsonKoenker & Bassett
TypeConditional volatility model (asymmetric GARCH variant)Conditional quantile regression
Oprindelig kildeNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Aliasserexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHconditional quantile regression, regression quantiles, Kantil Regresyon
Relaterede45
ResuméEGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.Quantile 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.
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ScholarGateSammenlign metoder: EGARCH · Quantile Regression. Hentet 2026-06-18 fra https://scholargate.app/da/compare