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Tail risk is a classic topic in stressed portfolio optimization to treat unprecedented risks, while the traditional mean-variance approach may fail to perform well. This study proposes an innovative semiparametric method consisting of two modeling components: the nonparametric estimation and...
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Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions. Our results are for weakly dependent data and we prove oracle efficiency....
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We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the … partial linear semiparametric regression model, y = Xβ + f + Both estimators are analysed and compared in the sense of mean … ; Differencing matrix ; Liu estimator ; Liu type estimator ; Multicollinearity ; Ridge regression estimator ; Semiparametric model …
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