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Model TVP-EGARCH×Model GARCH (predikcia volatility)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1991–2000s1986
TvorcaNelson (1991) for EGARCH; TVP extension developed across the 1990s–2000s literature (e.g., Harvey, Engle and co-authors)Tim Bollerslev
TypConditional volatility modelConditional volatility model
Pôvodný zdrojNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
Ďalšie názvyTVP-EGARCH, time-varying EGARCH, EGARCH with time-varying parameters, dynamic parameter EGARCHGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Príbuzné35
ZhrnutieThe 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 Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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ScholarGatePorovnať metódy: Time-varying parameter EGARCH model · GARCH Model. Získané 2026-06-18 z https://scholargate.app/sk/compare