ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Tærskel- og jævn-overgangs VAR (TVAR / STVAR)×Exponential GARCH (EGARCH)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19981991
OphavspersonTsay (multivariate threshold modelling)Nelson
TypeNonlinear multivariate time-series modelConditional volatility model (asymmetric GARCH variant)
Oprindelig kildeTsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
AliasserTVAR, STVAR, regime-switching VAR, threshold VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Relaterede54
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.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.
ScholarGateDatasæt
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Threshold and Smooth-Transition VAR · EGARCH. Hentet 2026-06-17 fra https://scholargate.app/da/compare