Fourier EGARCH: Uundaji wa Volatiliti kwa Mapumziko Laini ya Kimuundo
Fourier EGARCH inapanua mfumo wa Nelson (1991) wa Exponential GARCH kwa kuingiza vigezo vya trigonometria vya Fourier katika mlinganyo wa utofauti wa masharti ili kunasa mabadiliko laini, ya taratibu katika kiwango cha utofauti usio na masharti kwa muda. Hii inaruhusu mfumo kushughulikia mapumziko ya kimuundo katika volatiliti bila kuhitaji ujuzi wa awali wa muda au idadi yake.
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
- 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 ↗
- Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370. DOI: 10.2307/2938260 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Fourier Exponential Generalized Autoregressive Conditional Heteroscedasticity. ScholarGate. https://scholargate.app/sw/econometrics/fourier-egarch
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.
- Exponential GARCH (EGARCH)Ekonometriki↔ compare
- Umuundo wa Kujirudia kwa Kujitegemea wenye Masharti ya Ugomvi (GARCH)Ekonometriki↔ compare
- GJR-GARCH (GARCH Asymmetric)Ekonometriki↔ compare
Imerejelewa na
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