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Teste de Breusch-Pagan para Heteroscedasticidade×GJR-GARCH (GARCH Assimétrico)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19791993
Autor originalTrevor Breusch & Adrian PaganGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
TipoLagrange-multiplier test for heteroskedasticityAsymmetric conditional volatility model
Fonte seminalBreusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. DOI ↗Glosten, L. R., Jagannathan, R. & Runkle, D. E. (1993). On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779-1801. DOI ↗
Outros nomesBP test, Breusch-Pagan-Godfrey test, Lagrange multiplier test for heteroskedasticity, Breusch-Pagan değişen varyans testiasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Relacionados35
ResumoThe Breusch-Pagan test, introduced by Trevor Breusch and Adrian Pagan in 1979, is a Lagrange-multiplier test for heteroskedasticity — the condition where the variance of a regression's errors changes with the explanatory variables. It works by regressing the squared OLS residuals on candidate variables and checking whether they explain any of the residual variation, signalling that the constant-variance assumption is violated.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).
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ScholarGateComparar métodos: Breusch-Pagan Test · GJR-GARCH. Recuperado em 2026-06-20 de https://scholargate.app/pt/compare