ScholarGate
Msaidizi
Regression modelEconometrics / time series

Mfumo wa DCC-GARCH wa Mapumziko ya Kiunzi

Mfumo wa DCC-GARCH wa mapumziko ya kiunzi unapanua mfumo wa Dynamic Conditional Correlation GARCH wa Engle kwa kuruhusu muundo wa uhusiano na utofauti kubadilika katika moja au zaidi ya vipindi vya mapumziko ya kiunzi katika sampuli. Unaunda uhusiano wa wakati unaobadilika kati ya mfululizo wa fedha nyingi huku ukizingatia mabadiliko ya ghafla ya utawala yanayosababishwa na migogoro, mabadiliko ya sera, au mabadiliko ya muundo wa soko.

Tumia kupitia EconMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI: 10.1198/073500102288618487
  2. Pelletier, D. (2006). Regime switching for dynamic correlations. Journal of Econometrics, 131(1-2), 445-473. DOI: 10.1016/j.jeconom.2005.01.013

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Structural Break Dynamic Conditional Correlation GARCH Model. ScholarGate. https://scholargate.app/sw/econometrics/structural-break-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.

Compare side by side
ScholarGateStructural break DCC-GARCH (Structural Break Dynamic Conditional Correlation GARCH Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/structural-break-dcc-garch · Seti ya data: https://doi.org/10.5281/zenodo.20539026