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Modelo EGARCH com Ruptura Estrutural×Modelo ARCH (Autoregressive Conditional Heteroskedasticity)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1990–19911982
Autor originalNelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variantsRobert F. Engle
TipoVolatility model with structural breaksConditional volatility model
Fonte seminalNelson, 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 ↗
Outros nomesSB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Relacionados56
ResumoStructural 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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ScholarGateComparar métodos: Structural Break EGARCH · ARCH model. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare