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Model TVP-ARCH s parametrami meniacimi sa v čase×Model EGARCH (Exponenciálny GARCH)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1980s–1990s1991
TvorcaExtension of Engle (1982) ARCH; TVP-ARCH formalization credited to Nicholls & Quinn and subsequent state-space literatureDaniel B. Nelson
TypConditional heteroscedasticity model with time-varying coefficientsVolatility / conditional variance model
Pôvodný zdrojEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Ďalšie názvyTVP-ARCH, time-varying ARCH, adaptive ARCH, state-space ARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Príbuzné56
ZhrnutieThe Time-Varying Parameter ARCH (TVP-ARCH) model extends the classic ARCH framework by allowing both the conditional mean coefficients and the ARCH variance parameters to drift over time according to a random-walk or state-space process. This makes it possible to capture structural shifts in volatility dynamics without imposing a fixed parameter regime.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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ScholarGatePorovnať metódy: Time-varying parameter ARCH model · EGARCH model. Získané 2026-06-18 z https://scholargate.app/sk/compare