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Model EGARCH Parameter Variasi Masa×Model EGARCH (Exponential GARCH)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1991–2000s1991
PengasasNelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Daniel B. Nelson
JenisConditional volatility modelVolatility / conditional variance model
Sumber perintisNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
AliasTVP-EGARCH, time-varying EGARCH, EGARCH with time-varying parameters, dynamic parameter EGARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Berkaitan36
RingkasanThe TVP-EGARCH model extends Nelson's (1991) Exponential GARCH by allowing the volatility equation's parameters — including the leverage effect coefficient — to drift continuously over time. This makes it possible to capture structural change and regime evolution in financial return volatility without imposing a fixed break date.The Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
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ScholarGateBandingkan kaedah: Time-varying parameter EGARCH model · EGARCH model. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare