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TGARCH com Quebra Estrutural (Threshold GARCH com Quebras Estruturais)×Modelo TGARCH (GARCH Limiar)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1990-19931993-1994
Autor originalLamoureux & Lastrapes (structural breaks in GARCH); Glosten, Jagannathan & Runkle (TGARCH/GJR-GARCH asymmetry)Zakoian (1994); Glosten, Jagannathan & Runkle (1993)
TipoVolatility modelAsymmetric volatility model
Fonte seminalLamoureux, C. G., & Lastrapes, W. D. (1990). Persistence in variance, structural change, and the GARCH model. Journal of Business & Economic Statistics, 8(2), 225-234. DOI ↗Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗
Outros nomesSB-TGARCH, threshold GARCH with structural breaks, GJR-GARCH with structural breaks, break-adjusted TGARCHThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Relacionados36
ResumoStructural Break TGARCH extends the Threshold GARCH (GJR-GARCH) model to accommodate discrete, permanent shifts in the volatility process. By detecting structural breaks and incorporating them — either as regime-specific intercepts or dummy variables — the model separates genuine volatility persistence from spurious persistence induced by ignored regime changes, and preserves the asymmetric leverage effect that characterises equity and financial return data.The Threshold GARCH (TGARCH) model extends the standard GARCH framework by allowing positive and negative return shocks to have asymmetric effects on conditional variance. Negative shocks — bad news — typically amplify volatility more than positive shocks of the same magnitude, a stylised fact known as the leverage effect. TGARCH captures this asymmetry through a threshold indicator that switches on when the previous period's shock was negative.
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  1. v1
  2. 2 Fontes
  3. PUBLISHED

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ScholarGateComparar métodos: Structural Break TGARCH · TGARCH model. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare