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Linganisha mbinu

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Modeli ya EGARCH (Exponential GARCH)×Ubora wa Utegemezi wa Viga (VAR)×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19911980
MwanzilishiDaniel B. NelsonChristopher A. Sims
AinaVolatility / conditional variance modelMultivariate time-series model
Chanzo asiliaNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Majina mbadalaExponential GARCH, EGARCH, Nelson EGARCH, log-GARCHVAR, VAR model, vector autoregressive model, multivariate autoregression
Zinazohusiana65
MuhtasariThe Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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  2. 2 Vyanzo
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: EGARCH model · Vector Autoregression. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare