DCC-MIDAS
DCC-MIDAS inajumuisha dynamic conditional correlation (DCC) GARCH na mixed-frequency data sampling (MIDAS), ikiruhusu makadirio ya mahusiano yanayobadilika kwa muda kati ya vigezo wakati ambapo data huwasili kwa masafa tofauti. Imeanzishwa na Engle et al. (2013), inaunda jinsi mahusiano yanavyoendelea kwa kutumia hali za kiuchumi za masafa ya chini kwa kutumia taarifa za bei za mali za masafa ya juu. Hii ni muhimu kwa usimamizi wa hatari wa kwingineko na kuelewa uhusiano wa uchumi mkuu na fedha.
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., Ghysels, E., & Sohn, B. (2013). Stock market volatility and macroeconomic fundamentals. Review of Economics and Statistics, 95(3), 776-797. DOI: 10.1162/rest_a_00300 ↗
- Colacito, R., Engle, R. F., & Ghysels, E. (2011). A component model for dynamic correlations. Journal of Econometrics, 164(1), 45-59. DOI: 10.1016/j.jeconom.2011.02.013 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Dynamic Conditional Correlation MIDAS. ScholarGate. https://scholargate.app/sw/econometrics/dcc-midas
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.
- Component GARCHEkonometriki↔ compare
- GARCH-MIDASEkonometriki↔ compare
- VAR ya Kiasi (Quantile VAR)Ekonometriki↔ compare
Imerejelewa na
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