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| Μοντέλο EGARCH (Exponential GARCH)× | Παλινδρόμηση Ποσοστημορίων× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1991 | 1978 |
| Δημιουργός≠ | Daniel B. Nelson | Koenker & Bassett |
| Τύπος≠ | Volatility / conditional variance model | Conditional quantile regression |
| Θεμελιώδης πηγή≠ | Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH | conditional quantile regression, regression quantiles, Kantil Regresyon |
| 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. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
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