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DCC-GARCH (Dynamic Conditional Correlation)×Model Kesan Tetap Data Panel×
BidangKewanganEkonometrik
KeluargaRegression modelRegression model
Tahun asal20022014
PengasasRobert F. EngleHsiao (textbook treatment); within transformation of panel data
JenisMultivariate volatility modelPanel data regression
Sumber perintisEngle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Aliasdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Berkaitan55
RingkasanDCC-GARCH is Engle's (2002) multivariate volatility model that lets the correlations between several assets change over time. A separate univariate GARCH model is fitted to each series, and then the dynamic correlation matrix is estimated in a second, separate step.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateBandingkan kaedah: DCC-GARCH · Panel Fixed Effects. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare