We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d'Orey (1987; 1994) to assess which uncertainties are the potential...

In the nineties, average firm size decreased, organisations decentralized, and workers preferences shifted from large to small firms. Our model identifies the economic forces behind this trend. Small firms with little capital at risk are subject to risk-shifting. They realize more of their...