Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Modell för strukturella brott i EGARCH× | EGARCH-modellen (Exponential GARCH)× | |
|---|---|---|
| Ämnesområde | Ekonometri | Ekonometri |
| Familj | Regression model | Regression model |
| Ursprungsår≠ | 1990–1991 | 1991 |
| Upphovsperson≠ | Nelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variants | Daniel B. Nelson |
| Typ≠ | Volatility model with structural breaks | Volatility / conditional variance model |
| Ursprungskälla | Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗ | Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗ |
| Alias | SB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCH | Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH |
| Närliggande≠ | 5 | 6 |
| Sammanfattning≠ | Structural Break EGARCH combines Nelson's Exponential GARCH framework with explicit allowance for one or more structural breaks in the volatility process. By letting the intercept and persistence parameters of the log-variance equation shift at detected break dates, the model avoids the spurious long-memory and inflated persistence that standard EGARCH suffers when the data contain regime changes. | 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. |
| ScholarGateDatamängd ↗ |
|
|