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| Модель EGARCH зі структурними розривами× | Модель АРХ (Авторегресивна умовна гетероскедастичність)× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1990–1991 | 1982 |
| Автор методу≠ | Nelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variants | Robert F. Engle |
| Тип≠ | Volatility model with structural breaks | Conditional volatility model |
| Основоположне джерело≠ | Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗ | Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗ |
| Інші назви | SB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCH | ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model |
| Пов'язані≠ | 5 | 6 |
| Підсумок≠ | 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 ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering. |
| ScholarGateНабір даних ↗ |
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