معرفی
Tom Zimmermann is a full-time Professor for Data Analytics at the University of Cologne, affiliated with the Faculty of Management, Economics and Social Sciences (WiSo Faculty). His work bridges Data Science, Finance, and Empirical Macroeconomics, with a focus on monetary policy impacts, cybersecurity economics, and quantitative finance.
- Education: PhD in Economics (2009-2015) and MA in Economics (2009-2012) from Harvard University; Diploma in Economics (2004-2009) from the University of Bonn; Visiting student (2007-2008) at UC Berkeley.
His research explores unconventional monetary policy effects (e.g., QE), publication bias in finance, cybersecurity costs in public sectors, and machine learning applications in macroeconomic forecasting. Key initiatives include collaborations with the ECONtribute Cluster of Excellence and the Cologne Laboratory for Economic Research (CLER).
Selected Publications address topics like:
- Quantitative Easing and Bank Lending Standards
- Employment Effects of Unconventional Monetary Policy
- Publication Bias in Asset Pricing
- Cybersecurity Economics in Municipalities
- Machine Learning for Corporate Default Prediction
- Fiscal Multipliers and Policy Narratives
His work spans Finance, Macroeconomics, and Data Science, with subfields in QE Analysis, Portfolio Theory, Cyber Risk, and Economic Policy. He is based at the University of Cologne’s WiSo Faculty, contributing to Germany’s first economics-focused Excellence Cluster focused on markets and public policy.
