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Theo Berger
Theo Berger
I am Professor of Quantitative Methods and Data Science. My personal research focuses on data science, artificial intelligence and financial econometrics. Also, I help companies and social organisations to gain access to artificial intelligence and data-driven solutions.
According to the research rankings of Handelsblatt / Wirtschaftswoche, I was listed among the top 100 research-driven business economists under the age of 40 in the German-speaking world in 2019, 2021, and 2023.
Selected Publications
Data Science and Artificial Intelligence:
T. Berger (2025): On the information content of explainable artificial intelligence, OR Spectrum, 47, 177-203.
T. Berger (2023): Explainable artificial intelligence and economic panel data: A study on volatility spillover along the supply chains, Finance Research Letters, 54, 103757.
Financial Econometrics:
T. Berger and R. Gencay (2018): Improving daily Value-at-Risk forecasts: The Relevance of Short-run Volatility for Regulatory Quality Assessment, Journal of Economic Dynamics and Control, 92, 30-46.
M. Al Janabi, J. Arreola Hernandez, T. Berger and D. Nguyen (2017): Multivariate Dependence and Portfolio algorithms under Illiquid Market Scenarios, European Journal of Operational Research, 259, 1121-1131.
Selected Projects
Third party funded projects:
European Platform for Data Science: Incubation, Learning, Operations and Network (Co-funded by the European Union, Erasmus+ Cooperation Partnership (2021-1-DE01-KA220-HED-000029711))
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