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Fourieho regresní analýza kvantilů na kvantilech×Kvantilová regrese×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku2015-2020s1978
TvůrceExtension combining Sim & Zhou (2015) QQ regression with Fourier flexible-form smoothingKoenker & Bassett
TypNonparametric quantile regression with Fourier smoothingConditional quantile regression
Původní zdrojSim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Další názvyFourier QQ regression, Fourier-QQR, Fourier quantile regression with quantile regressors, smooth structural-break QQ regressionconditional quantile regression, regression quantiles, Kantil Regresyon
Příbuzné65
ShrnutíFourier quantile-on-quantile regression extends the quantile-on-quantile (QQ) framework of Sim and Zhou (2015) by embedding Fourier trigonometric terms into the local linear quantile model. This allows the estimated dependence between the quantiles of one variable and the quantiles of another to vary smoothly over time, capturing gradual structural change without imposing a known break date.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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ScholarGatePorovnat metody: Fourier Quantile-on-Quantile Regression · Quantile Regression. Získáno 2026-06-17 z https://scholargate.app/cs/compare