Johannes Frank

Johannes Frank, M. Sc.

Research Assistant

School of Business, Economics and Society
Chair of Statistics and Econometrics (Prof. Dr. Dovern)

Room: Raum 4.174

Office hours

By Appointment

Curriculum Vitae

Since 04/2021 Research Assistant, FAU Erlangen-Nürnberg, Chair of Statistics and Econometrics
01/2020 – 03/2021 Working Student, NÜRNBERGER Asset Management GmbH (Public Markets)
10/2019 – 03/2021 Student and Teaching Assistant, FAU, Chair of Statistics and Econometrics
10/2019 – 12/2019 Working Student, NÜRNBERGER Versicherung (Kapitalanlage-Portfoliomanagement)
10/2018 – 09/2019 Student Assistant (Tutor), FAU, Chair of Statistics and Econometrics
09/2015 – 09/2019 Integrated Degree Program (Student and International Management Assistant for Insurance & Finance), NÜRNBERGER Versicherungen

 

since 03/2022 PhD Student, FAU Erlangen-Nürnberg, Chair of Statistics and Econometrics
2019 – 2021
FAU Erlangen-Nürnberg, M.Sc. Finance-Auditing-Controlling-Taxation (FACT), Majors: Finance & Statistics
2016 – 2019 FAU Erlangen-Nürnberg, B.A. Business Studies (Integrated Degree Program)
2007 – 2015 Abitur, Peter-Vischer-Schule

  • 7th International Conference on Advanced Research Methods and Analytics (CARMA 2025), Roma Tre University (Italy), July 2025: Improving multi-horizon volatility forecasting using multi-task learning.
  • 26th International Conference on Computational Statistics (COMPSTAT 2024), Justus-Liebig-Universität Giessen, August 2024: Multi-Task Learning for Macroeconomic Forecasting.
  • 44th International Symposium on Forecasting (ISF), International Institute of Forecasters (IIF), Dijon (France), July 2024: Multi-Task Learning for Macroeconomic Nowcasting.
  • 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024), UPV Valencia (Spain), June 2024: Multi-Task Learning for Macroeconomic Nowcasting.
  • Workshop „Zwischen Narrativen und Fakten – Wie können Statistiken die Öffentlichkeit erreichen?, June 2024, Fürth.
  • 16. RGS Doctoral Conference in Economics, Ruhr-University Bochum, March 2023: Forecasting Realized Volatility in Turbulent Times using Temporal Fusion Transformers.
  • Big Data in Macroeconomics, Bundesministerium für Wirtschaft und Klimaschutz, October 2022, hybrid.

Publications

Dovern, J., Frank, J., Glas, A., Müller, L.S., and Perico, D. (2023). Estimating Pass-Through Rates for the 2022 Tax Reduction on Fuel Prices in Germany, Energy Economics, 126, 106948.