Сравнение методов

	Модель ARCH (авторегрессионная условная гетероскедастичность)	Квантильная регрессия
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1982	1978
Автор метода	Robert F. Engle	Koenker & Bassett
Тип	Conditional volatility model	Conditional quantile regression
Основополагающий источник	Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Другие названия	ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model	conditional quantile regression, regression quantiles, Kantil Regresyon
Связанные	6	5
Сводка	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.