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ARCH-model (Autoregressieve Conditionele Heteroskedasticiteit)×Kwantielregressie×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan19821978
GrondleggerRobert F. EngleKoenker & Bassett
TypeConditional volatility modelConditional quantile regression
Oorspronkelijke bronEngle, 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 ↗
AliassenARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance modelconditional quantile regression, regression quantiles, Kantil Regresyon
Verwant65
SamenvattingThe 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.
ScholarGateGegevensset
  1. v1
  2. 2 Bronnen
  3. PUBLISHED
  1. v1
  2. 2 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: ARCH model · Quantile Regression. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare