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Tidsvarierande parameter EGARCH-modell×EGARCH-modellen (Exponential GARCH)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1991–2000s1991
UpphovspersonNelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Daniel B. Nelson
TypConditional volatility modelVolatility / conditional variance model
UrsprungskällaNelson, 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
Närliggande36
SammanfattningThe 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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ScholarGateJämför metoder: Time-varying parameter EGARCH model · EGARCH model. Hämtad 2026-06-18 från https://scholargate.app/sv/compare