Christian Fieberg
University of Bremen
Christian Fieberg, is a researcher at the University of Bremen, specialising in the field of empirical capital market research and derivatives. Between 2016 and 2019, he worked as a fund manager at Bremer Landesbank, NORD / LB and Solvcon Invest. He has also conducted research and taught at Concordia University (Montreal Canada), University of the Free State (Bloemfontein, South Africa), Jacobs University, University of Luxembourg, University of Hamburg, University of Oldenburg and Bremen University of Applied Sciences. His research focuses on working with large data sets, the use of complex methods (especially from the areas of statistics, econometrics, optimization, operations research, simulation and machine learning), the use of statistical software (especially Matlab / Octave / Freemat, R, Stata, Python, Excel / VBA) and the transfer of research results to software tools that can be used in practice.
Follow Christian
Articles by Christian Fieberg
Machine learning for categorization of operational risk events using textual description
The authors summarise ways that machine learning can help categorize textual descriptions of operational loss events into Basel II event types.
Forecasting corporate defaults in the German stock market
In this paper, the authors estimate and test several default risk models using new and unique data on corporate defaults in the German stock market.
Relative performance persistence of financial forecasting models and its economic implications
This paper addresses the issue of model selection risk by examining whether a model’s past performance in forecasting expected returns provides an indication of its future forecasting performance.