This paper examines the sales distribution and genre composition of the German book market across different retail channels - e-commerce, chain stores, and independent bookstores - over the period 2011-2018. Utilizing a unique dataset comprising weekly sales data of approximately 50,000...

This paper introduces the family of Dynamic Kernel models. These models approximate the predictive density function of a time series through a weighted average of kernel densities possessing a dynamic bandwidth. A general specification is presented and several particular models are studied in...

We propose an easy-to-implement framework for combining quantile forecasts, applied to forecasting GDP growth. Using quantile regressions, our combination scheme assigns weights to individual forecasts from different indicators based on quantile scores. Previous studies suggest distributional...