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| Strukturālo lūzumu ARCH modelis× | Autoregresīvās nosacītās heteroskedastiskuma (ARCH) modelis× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1982–1990 | 1982 |
| Autors≠ | Engle (1982) for ARCH; Lamoureux & Lastrapes (1990) for break-adjusted variance persistence | Robert F. Engle |
| Tips≠ | Volatility model with regime change | Conditional volatility model |
| Pirmavots | 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 ↗ |
| Citi nosaukumi | ARCH with structural breaks, break-adjusted ARCH, regime-switching ARCH, SB-ARCH | ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | 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. |
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