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| Μοντέλο EGARCH (Exponential GARCH)× | Αυτοπαλινδρόμηση Διανυσμάτων (VAR)× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1991 | 1980 |
| Δημιουργός≠ | Daniel B. Nelson | Christopher A. Sims |
| Τύπος≠ | Volatility / conditional variance model | Multivariate time-series model |
| Θεμελιώδης πηγή≠ | Nelson, 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 ↗ |
| Εναλλακτικές ονομασίες | Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| Συναφείς≠ | 6 | 5 |
| Σύνοψη≠ | The 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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