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This paper studies a semi-parametric single-index predictive regression model with multiple nonstationary predictors …
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This paper considers the estimation of a semi-parametric single-index regression model that allows for nonlinear … stationarity properties of asset returns but also avoids the curse of dimensionality associated with non-parametric regression … and the linear predictive regression model …
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We propose a hybrid penalized averaging for combining parametric and non-parametric quantile forecasts when faced with a large number of predictors. This approach goes beyond the usual practice of combining conditional mean forecasts from parametric time series models with only a few predictors....
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