Mifumo ya Kumbukumbu-Ndefu (ARFIMA, FIGARCH)
Mifumo ya kumbukumbu-ndefu ni mbinu za ugawanyaji wa sehemu ambazo hupata kumbukumbu halisi ndefu kupitia muundo wa uhusiano wa kiholela unaoporomoka kwa njia ya hyperboliki. ARFIMA, iliyoanzishwa na Granger na Joyeux (1980), huunda kumbukumbu ndefu katika mfululizo wa mapato, wakati FIGARCH, iliyoanzishwa na Baillie, Bollerslev na Mikkelsen (1996), hupata kumbukumbu ndefu katika mfululizo wa tete; kigezo d hupima kiwango cha ugawanyaji wa sehemu.
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
- Granger, C. W. J. & Joyeux, R. (1980). An Introduction to Long-Memory Time Series Models and Fractional Differencing. Journal of Time Series Analysis, 1(1), 15-29. DOI: 10.1111/j.1467-9892.1980.tb00297.x ↗
- Baillie, R. T., Bollerslev, T. & Mikkelsen, H. O. (1996). Fractionally Integrated Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 74(1), 3-30. DOI: 10.1016/S0304-4076(95)01749-6 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Long-Memory Time Series Models (ARFIMA, FIGARCH). ScholarGate. https://scholargate.app/sw/finance/long-memory-models
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.
- Mfumo wa ARIMA (Autoregressive Integrated Moving Average)Ekonometriki↔ compare
- Modeli wa GARCH (Utabiri wa Msukosuko)Ekonometriki↔ compare
- Data ya Masafa ya Juu na Uchambuzi wa Muundo wa SokoFedha↔ compare
- Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)Ekonometriki↔ compare
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