ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Laika mainīgo parametru EGARCH modelis×EGARCH modelis (eksponenciālais GARCH)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads1991–2000s1991
AutorsNelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Daniel B. Nelson
TipsConditional volatility modelVolatility / conditional variance model
PirmavotsNelson, 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 ↗
Citi nosaukumiTVP-EGARCH, time-varying EGARCH, EGARCH with time-varying parameters, dynamic parameter EGARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Saistītās36
KopsavilkumsThe 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.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Time-varying parameter EGARCH model · EGARCH model. Izgūts 2026-06-18 no https://scholargate.app/lv/compare