ScholarGate
Asistent

Porovnať metódy

Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.

Exponential GARCH (EGARCH)×Exponenciálne vyhladzovanie (SES / Holt)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19911957
TvorcaNelsonRobert G. Brown (SES); Charles C. Holt (linear trend)
TypConditional volatility model (asymmetric GARCH variant)Exponential smoothing forecasting model
Pôvodný zdrojNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Brown, R. G. (1959). Statistical Forecasting for Inventory Control. McGraw-Hill. link ↗
Ďalšie názvyexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHSES, Holt's linear trend method, exponential smoothing forecasting, Basit ve Çift Üstel Düzleştirme (SES / Holt)
Príbuzné43
ZhrnutieEGARCH 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.Exponential smoothing is a family of basic time-series forecasting models in which each new observation updates a smoothed estimate by a weighting parameter. Simple exponential smoothing (SES), introduced by Robert G. Brown in 1959, forecasts series with a stable level, while Holt's double exponential smoothing, introduced by Charles C. Holt in 1957, adds a trend term using the parameters alpha and beta.
ScholarGateDátová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Prejsť na hľadanie Stiahnuť snímky

ScholarGatePorovnať metódy: EGARCH · Exponential Smoothing. Získané 2026-06-19 z https://scholargate.app/sk/compare