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ARCH model (Autoregressive Conditional Heteroskedasticity)×Kvantilna regresija×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19821978
TvoracRobert F. EngleKoenker & Bassett
VrstaConditional volatility modelConditional quantile regression
Temeljni izvorEngle, 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 ↗
Drugi naziviARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance modelconditional quantile regression, regression quantiles, Kantil Regresyon
Srodne65
SažetakThe 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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ScholarGateUsporedite metode: ARCH model · Quantile Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare