Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...

Using meta-analytical techniques, we focus on 11 studies that explicitly measure the effect of a net migration variable in neoclassical convergence models and derive 57 comparable effect sizes. The data suggest that an increase in the net migration rate of one percentage point increases on...

We conceptualize global liquidity as global monetary policy and credit components by means of a large-scale dynamic factor model in the spirit of Eickmeier,Gambacorta, and Hofmann (2014). Going beyond previous work, we decompose aggregate credit components into credit supply and demand flows...

We assess whether climate transition risk is priced in Europe's equity market by analysing relative equity returns of high versus low CO2-emitting firms. We use a panel data set covering firm-specific carbon emissions of 1,555 European companies over the period 2005-2019. We add to the existing...