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Model sa vremenski promjenjivim parametrima ARMA (TVP-ARCH)×EGARCH model (eksponencijalni GARCH)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1980s–1990s1991
TvoracExtension of Engle (1982) ARCH; TVP-ARCH formalization credited to Nicholls & Quinn and subsequent state-space literatureDaniel B. Nelson
VrstaConditional heteroscedasticity model with time-varying coefficientsVolatility / conditional variance model
Temeljni izvorEngle, 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 ↗
Drugi naziviTVP-ARCH, time-varying ARCH, adaptive ARCH, state-space ARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Srodne56
SažetakThe 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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ScholarGateUsporedite metode: Time-varying parameter ARCH model · EGARCH model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare