ScholarGate
Assistente

Confronta i metodi

Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.

Exponential GARCH (EGARCH)×Test di Cointegrazione di Johansen e Modello a Correzione d'Errore Vettoriale×
CampoEconometriaFinanza
FamigliaRegression modelRegression model
Anno di origine19911991
IdeatoreNelsonSøren Johansen
TipoConditional volatility model (asymmetric GARCH variant)Multivariate cointegration / vector error correction model
Fonte seminaleNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Aliasexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHJohansen test, VECM, vector error correction model, multivariate cointegration
Correlati43
SintesiEGARCH 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.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.
ScholarGateInsieme di dati
  1. v1
  2. 2 Fonti
  3. PUBLISHED
  1. v1
  2. 2 Fonti
  3. PUBLISHED

Vai alla ricerca Scarica le diapositive

ScholarGateConfronta i metodi: EGARCH · Johansen Cointegration Test. Consultato il 2026-06-19 da https://scholargate.app/it/compare