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Vector autoregressiu amb llindar i transició suau (TVAR / STVAR)×Prova ARCH-LM per a l'agrupació de volatilitat×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen19981982
Autor originalTsay (multivariate threshold modelling)Robert F. Engle
TipusNonlinear multivariate time-series modelLagrange multiplier diagnostic test for conditional heteroscedasticity
Font seminalTsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007. DOI ↗
ÀliesTVAR, STVAR, regime-switching VAR, threshold VARARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticity
Relacionats56
ResumThreshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences.The ARCH-LM test is Robert Engle's (1982) Lagrange multiplier diagnostic for autoregressive conditional heteroscedasticity in the residuals of a fitted time-series model. It checks whether the error variance changes over time and clusters into calm and turbulent periods, and it is the standard pre-test run before fitting a GARCH-family volatility model.
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ScholarGateCompara mètodes: Threshold and Smooth-Transition VAR · ARCH-LM Test. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare