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Exponential GARCH (EGARCH)×Regresi Kuantil×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19911978
PengasasNelsonKoenker & Bassett
JenisConditional volatility model (asymmetric GARCH variant)Conditional quantile regression
Sumber perintisNelson, 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 ↗
Aliasexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHconditional quantile regression, regression quantiles, Kantil Regresyon
Berkaitan45
RingkasanEGARCH 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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ScholarGateBandingkan kaedah: EGARCH · Quantile Regression. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare