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Autoregresīvās nosacītās heteroskedastiskuma (ARCH) modelis×EGARCH (Exponential GARCH)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads19821991
AutorsRobert F. EngleNelson
TipsConditional volatility modelConditional volatility model (asymmetric GARCH variant)
PirmavotsEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
Citi nosaukumiARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance modelexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Saistītās64
KopsavilkumsThe ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.EGARCH 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.
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ScholarGateSalīdzināt metodes: ARCH model · EGARCH. Izgūts 2026-06-20 no https://scholargate.app/lv/compare