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Autoregressiivisen ehdollisen heteroskedastisuuden (ARCH) malli×Kvanttiiliregressio×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi19821978
KehittäjäRobert F. EngleKoenker & Bassett
TyyppiConditional volatility modelConditional quantile regression
AlkuperäislähdeEngle, 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 ↗
RinnakkaisnimetARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance modelconditional quantile regression, regression quantiles, Kantil Regresyon
Liittyvät65
TiivistelmäThe 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.
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ScholarGateVertaile menetelmiä: ARCH model · Quantile Regression. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare