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EGARCH model sa strukturnim lomom×ARCH model (Autoregressive Conditional Heteroskedasticity)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1990–19911982
TvoracNelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variantsRobert F. Engle
VrstaVolatility model with structural breaksConditional volatility model
Temeljni izvorNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Drugi naziviSB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Srodne56
SažetakStructural Break EGARCH combines Nelson's Exponential GARCH framework with explicit allowance for one or more structural breaks in the volatility process. By letting the intercept and persistence parameters of the log-variance equation shift at detected break dates, the model avoids the spurious long-memory and inflated persistence that standard EGARCH suffers when the data contain regime changes.The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.
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ScholarGateUsporedite metode: Structural Break EGARCH · ARCH model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare