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| Експоненциален GARCH (EGARCH)× | Модел на Марковски превключващи се режими (MS-AR / MS-VAR)× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1991 | 1989 |
| Създател≠ | Nelson | Hamilton (1989); Kim & Nelson (1999) |
| Тип≠ | Conditional volatility model (asymmetric GARCH variant) | Regime-switching time series model |
| Основополагащ източник≠ | Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗ | Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗ |
| Други названия≠ | exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH | regime-switching model, Markov-switching autoregression, MS-AR, MS-VAR |
| Свързани≠ | 4 | 5 |
| Резюме≠ | 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. | The Markov regime-switching model lets the parameters of a time series change probabilistically across hidden regimes governed by a Markov chain. Introduced by Hamilton (1989) and developed further by Kim and Nelson (1999), it automatically detects business-cycle phases such as expansions and contractions. |
| ScholarGateНабор от данни ↗ |
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