Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель ARCH с структурными сдвигами× | Модель ARCH (авторегрессионная условная гетероскедастичность)× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1982–1990 | 1982 |
| Автор метода≠ | Engle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistence | Robert F. Engle |
| Тип≠ | Volatility model with regime change | Conditional volatility model |
| Основополагающий источник | Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗ | Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗ |
| Другие названия | ARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCH | ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model |
| Связанные≠ | 5 | 6 |
| Сводка≠ | The Structural Break ARCH model extends Engle's (1982) Autoregressive Conditional Heteroscedasticity framework by explicitly accounting for abrupt, permanent shifts in the conditional variance process. Ignoring structural breaks in variance causes ARCH parameters to appear spuriously persistent, so incorporating break dummies or regime-specific parameters yields more accurate volatility estimates and better model fit. | 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. |
| ScholarGateНабор данных ↗ |
|
|