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Generaliserad Autoregressiv Konditionell Heteroskedasticitet (GARCH)×SARIMA (Seasonal ARIMA)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19862015
UpphovspersonTim BollerslevBox & Jenkins (seasonal extension of ARIMA)
TypConditional volatility modelSeasonal time-series model
UrsprungskällaBollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗Box, G.E.P., Jenkins, G.M., Reinsel, G.C. & Ljung, G.M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021
AliasGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeliseasonal ARIMA, Box-Jenkins seasonal model, SARIMA — Mevsimsel ARIMA
Närliggande55
SammanfattningGARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns.SARIMA is a seasonal extension of the Box-Jenkins ARIMA model that adds seasonal differencing and seasonal autoregressive and moving-average terms. Developed within the Box, Jenkins, Reinsel and Ljung framework (5th edition, 2015), it forecasts series whose pattern repeats on a yearly, monthly, or weekly period.
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ScholarGateJämför metoder: GARCH · SARIMA. Hämtad 2026-06-18 från https://scholargate.app/sv/compare