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Regresioni kuantil-mbi-kuantil Fourier×Model ARDL jolinear (NARDL)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës2015-2020s2014
KrijuesiExtension combining Sim & Zhou (2015) QQ regression with Fourier flexible-form smoothingShin, Yu & Greenwood-Nimmo
LlojiNonparametric quantile regression with Fourier smoothingNonlinear cointegration model
Burimi themeluesSim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
Emërtime të tjeraFourier QQ regression, Fourier-QQR, Fourier quantile regression with quantile regressors, smooth structural-break QQ regressionNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Të lidhura65
PërmbledhjaFourier 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.The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Fourier Quantile-on-Quantile Regression · Nonlinear ARDL. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare