Christian Schulz
- Role: Consultant
- Affiliation: University of Duisburg-Essen
I am a PhD student at the Chair of (Financial) Econometrics at the University of Duisburg-Essen
and a member of the Ruhr Graduate School in Economics. My research focuses on regression methods
beyond the mean, including quantile regression, expected shortfall regression, and fully
distributional regression for time series. I develop and apply these methods primarily in
macroeconomic tail-risk analysis and energy forecasting. As a consultant for DKZ.2R, I contribute
programming expertise in R and Python as well as knowledge in machine learning and predictive
modelling.