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Modeli wa GARCH (Utabiri wa Msukosuko)×Mfumo wa SARIMA×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19861970 (first edition); 1976 (revised)
MwanzilishiTim BollerslevBox, Jenkins, and Reinsel
AinaConditional volatility modelSeasonal time series model
Chanzo asiliaBollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
Majina mbadalaGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)SARIMA, seasonal ARIMA, Box-Jenkins seasonal model, ARIMA with seasonal component
Zinazohusiana55
MuhtasariThe Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.SARIMA extends ARIMA by adding seasonal autoregressive and moving-average operators to capture repeating patterns at fixed intervals — such as monthly, quarterly, or annual cycles. Denoted SARIMA(p,d,q)(P,D,Q)s, it is the standard workhorse for univariate seasonal time series forecasting in econometrics, economics, and official statistics.
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ScholarGateLinganisha mbinu: GARCH Model · SARIMA model. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare