Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель АРХ (Авторегресивна умовна гетероскедастичність)× | Квантильна регресія× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1982 | 1978 |
| Автор методу≠ | Robert F. Engle | Koenker & Bassett |
| Тип≠ | Conditional volatility model | Conditional quantile regression |
| Основоположне джерело≠ | Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| Інші назви≠ | ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | 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. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
| ScholarGateНабір даних ↗ |
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