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Linganisha mbinu

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Modeli wa Panel DCC-GARCH×Ubora wa Utegemezi wa Viga (VAR)×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili20021980
MwanzilishiRobert F. EngleChristopher A. Sims
AinaMultivariate volatility modelMultivariate time-series model
Chanzo asiliaEngle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroscedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Majina mbadalaDCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCCVAR, VAR model, vector autoregressive model, multivariate autoregression
Zinazohusiana55
MuhtasariThe Panel DCC-GARCH model extends Engle's (2002) Dynamic Conditional Correlation GARCH framework to panel data settings, jointly modelling time-varying volatility and cross-sectional correlations across multiple units (countries, firms, or assets) over time. It allows pairwise correlations to vary dynamically in response to market shocks while preserving parsimony via a two-step estimation.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Panel DCC-GARCH · Vector Autoregression. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare