方法对比

	稳健ARCH模型	分位数回归
领域	计量经济学	计量经济学
方法族	Regression model	Regression model
起源年份	2002–2008	1978
提出者	Engle (1982) for ARCH; robust variants developed by Muler, Yohai, and others from the early 2000s	Koenker & Bassett
类型	Volatility / conditional heteroscedasticity model	Conditional quantile regression
开创性文献	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.
别名	robust ARCH, outlier-robust ARCH, heavy-tailed ARCH, robust conditional volatility model	conditional quantile regression, regression quantiles, Kantil Regresyon
相关	6	5
摘要	The Robust ARCH model extends the classical Autoregressive Conditional Heteroscedasticity framework by replacing the standard maximum-likelihood estimator with robust alternatives that downweight or eliminate the influence of outliers. This makes volatility estimates resistant to extreme observations that frequently contaminate financial and macroeconomic time series.	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.