Lehrstuhlinhaber

Prof. Dr. Daniel Rösch

Professor Dr. Daniel Rösch holds the chair in Statistics and Risk Management at the University of Regensburg. Prior to joining the University of Regensburg in 2013 he was Professor of Finance and Director of the Institute of Banking of Finance at the Leibniz University of Hannover from 2007 to 2013. He earned a Ph.D. (Dr. rer. pol.) from the University of Regensburg in 1998 for a work on empirical Asset Pricing. From 2006 to 2011 he was visiting researcher at The University of Melbourne.

Since 2011 he is visiting Professor at the University of Technology in Sydney. His research interests cover Banking, Risk Management, Credit Risk Analytics, Financial Regulation and Supervision, Data Science, Machine Learning and Real Estate Finance. He published numerous papers in leading international journals, earned several awards and honors, and regularly gives talks on major international conferences. As a service to the profession he was a former President of the German Finance Association, co-founder and member of the board of directors of the Hannover Center of Finance, and deputy managing director of the workgroup Finance and Financial Institutions of the Operations Research Society. He also serves on the editorial board of the Journal of Risk Model Validation. Professor Rösch has cooperated with financial institutions and supervisory bodies such as Deutsche Bundesbank in joint research projects.

Among others, his work has been funded by Deutsche Forschungsgemeinschaft, the Thyssen Krupp Foundation, the Frankfurt Institute for Finance and Regulation, and the Melbourne Centre for Financial Studies. He currently participates in a long-term research grant with academics from the University of Technology in Sydney which is supported by the Australian Centre for International Finance and Regulation. In 2014 and 2019 the Handelsblatt and Wirtschaftswoche ranked him amongst the top 5% and 10 % of German speaking researchers in Business and Management.

Research

• Banking
• Risk Management
• Credit Risk Analytics
• Financial Regulation and Supervision
• Data Science
• Statistical and Machine Learning
• Real Estate Finance

CV  Roesch_2022