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Panel EGARCH×Model DCC-GARCH Panel×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1991 (EGARCH); panel extensions widely used from 2000s2002
PengasasDaniel B. Nelson (EGARCH); panel extension by applied econometrics literatureRobert F. Engle
JenisVolatility modelMultivariate volatility model
Sumber perintisNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Engle, 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 ↗
AliasPanel EGARCH model, panel exponential GARCH, EGARCH for panel data, cross-sectional EGARCHDCC-GARCH panel, panel dynamic conditional correlation, multivariate DCC-GARCH, Panel DCC
Berkaitan45
RingkasanPanel EGARCH extends Nelson's (1991) Exponential GARCH model to a panel setting, allowing conditional variance to evolve asymmetrically over time for each cross-sectional unit. The log specification ensures non-negative variance without parameter constraints, and the leverage term distinguishes whether negative shocks amplify volatility more than positive ones of equal magnitude.The 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.
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ScholarGateBandingkan kaedah: Panel EGARCH · Panel DCC-GARCH. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare