The German Research Foundation (DFG) recently approved the third-party funded project “Expected Shortfall Modelling: Advances for Cross-Sectional and Time Series Data” for three years. Yannick Hoga will work on various projects in the field of regression analysis together with Prof. Dr. Timo Dimitriadis (Goethe University Frankfurt) and his team. The focus here is on quantile and expected shortfall regressions, which have become increasingly popular for both time series data and cross-sectional data. Among other things, the project will investigate the extent to which valid inference procedures for the regression parameters can still be derived even for extreme values of the expected shortfall (i.e. a tail mean).