Component-Based GARCH Model
Tete huonyesha tabia tata: baadhi ya mishtuko hupotea haraka (kipengele cha muda mfupi), wakati mingine hubadilisha kiwango cha tete kabisa (au kwa muda mrefu). GARCH ya jadi hunasa uvumilivu wa wastani, lakini Component GARCH hutenganisha mifumo. Mshtuko wa hisia hasi unaweza kuongeza kwa muda tete ya kila siku (transitory), wakati mabadiliko ya kiuchumi ya kimuundo (kama utawala mpya, uharibifu wa kiteknolojia) huongeza kiwango cha kudumu cha tete ya baadaye.
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
- Engle, R. F., & Lee, G. (1999). A permanent and transitory component model of stock return volatility. Journal of Political Economy, 107(6), 1363-1384. link ↗
- Ling, S., & McAleer, M. (2003). Asymptotic theory and inference for dynamic conditional distribution models. Journal of Econometrics, 106(1), 119-135. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Component-Based GARCH Model. ScholarGate. https://scholargate.app/sw/econometrics/component-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.
- Mtihani wa usababishaji katika kiwango cha tofautiEkonometriki↔ compare
- DCC-MIDASEkonometriki↔ compare
- GARCH-MIDASEkonometriki↔ compare
Imerejelewa na
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