Mfumo wa GARCH wa Fourier
Mfumo wa GARCH wa Fourier huunganisha vipengele vya Fourier vya trigonometric katika mfumo wa kawaida wa GARCH ili kukamata mabadiliko laini, yanayoendelea katika mchakato wa kiwango tofauti cha masharti bila kuhitaji kujua tarehe kamili za mabadiliko ya kimuundo. Kwa kukadiria ruwaza za mabadiliko ambazo hazijulikani kwa utendaji wa sinusoidal, huunganisha pamoja nguzo za kutokuwa na utulivu na kiwango tofauti cha masharti kinachobadilika kwa wakati.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI: 10.1016/S0169-2070(00)00048-0 ↗
- Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI: 10.1111/j.1468-0084.2011.00662.x ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Fourier-Flexible Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/fourier-garch-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Muundo wa ARCH (Autoregressive Conditional Heteroskedasticity)Ekonometriki↔ compare
- Mchambuko wa DCC-GARCH (Dynamic Conditional Correlation)Ekonometriki↔ compare
- Modeli ya EGARCH (Exponential GARCH)Ekonometriki↔ compare
- Kipimo cha Mipaka cha Fourier ARDLEkonometriki↔ compare
- Modeli ya TGARCH (Threshold GARCH)Ekonometriki↔ compare
Imerejelewa na
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