Muundo wa Fourier DCC-GARCH
Muundo wa Fourier DCC-GARCH unapanua mfumo wa Dynamic Conditional Correlation GARCH wa Engle kwa kuingiza vipengele vya trigonometric vya Fourier katika milinganyo ya maana ya masharti au ya utofauti. Hii huruhusu muundo kukisia mabadiliko laini, ya hatua kwa hatua ya kimuundo katika mienendo ya utofauti na mahusiano kati ya mali bila kuhitaji ujuzi wa idadi au muda wa vipindi vya kuvunjika.
Soma mbinu kamili
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Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Engle, R. (2002). Dynamic conditional correlations: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. link ↗
- Nazlioglu, S., Gormus, N. A., & Soytas, U. (2016). Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis. Energy Economics, 60, 168-175. DOI: 10.1016/j.eneco.2016.09.009 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Fourier Dynamic Conditional Correlation GARCH Model. ScholarGate. https://scholargate.app/sw/econometrics/fourier-dcc-garch
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.
- Mchambuko wa DCC-GARCH (Dynamic Conditional Correlation)Ekonometriki↔ compare
- Modeli ya EGARCH (Exponential GARCH)Ekonometriki↔ compare
- Mfumo wa GARCH wa FourierEkonometriki↔ compare
- Modeli wa GARCH (Utabiri wa Msukosuko)Ekonometriki↔ compare
- Ubora wa Utegemezi wa Viga (VAR)Ekonometriki↔ compare
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