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Kvantilovo-kvantilová (QQ) regresia×Vektorová autoregresia (VAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku20151980
TvorcaSim and ZhouChristopher A. Sims
TypNonparametric quantile regressionMultivariate time-series model
Pôvodný 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 ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvyQQ regression, QQ approach, quantile-on-quantile approach, nonparametric quantile regressionVAR, VAR model, vector autoregressive model, multivariate autoregression
Príbuzné65
ZhrnutieQuantile-on-quantile regression is a nonparametric technique that estimates how the quantiles of one variable depend on the quantiles of another. By combining standard quantile regression with local linear smoothing, it produces a full two-dimensional surface of slope coefficients indexed by both the quantile of the outcome and the quantile of the predictor, revealing heterogeneous and asymmetric dependency structures invisible to standard regression.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGatePorovnať metódy: Quantile-on-Quantile Regression · Vector Autoregression. Získané 2026-06-17 z https://scholargate.app/sk/compare