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Tærskel- og jævn-overgangs VAR (TVAR / STVAR)×ARCH-LM-testen for volatilitetsclustering×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19981982
OphavspersonTsay (multivariate threshold modelling)Robert F. Engle
TypeNonlinear multivariate time-series modelLagrange multiplier diagnostic test for conditional heteroscedasticity
Oprindelig kildeTsay, 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 ↗
AliasserTVAR, STVAR, regime-switching VAR, threshold VARARCH-LM Testi ve Volatilite Kümelenmesi Analizi, ARCH LM test, Engle's ARCH test, test for autoregressive conditional heteroscedasticity
Relaterede56
ResuméThreshold 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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ScholarGateSammenlign metoder: Threshold and Smooth-Transition VAR · ARCH-LM Test. Hentet 2026-06-17 fra https://scholargate.app/da/compare