So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Mô hình EGARCH với điểm đứt gãy cấu trúc× | Mô hình EGARCH (Exponential GARCH)× | |
|---|---|---|
| Lĩnh vực | Kinh tế lượng | Kinh tế lượng |
| Họ | Regression model | Regression model |
| Năm ra đời≠ | 1990–1991 | 1991 |
| Người khởi xướng≠ | Nelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variants | Daniel B. Nelson |
| Loại≠ | Volatility model with structural breaks | Volatility / conditional variance model |
| Công trình gốc | 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 ↗ |
| Tên gọi khác | SB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCH | Exponential GARCH, EGARCH, Nelson EGARCH, log-GARCH |
| Liên quan≠ | 5 | 6 |
| Tóm tắt≠ | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|