Christoph Scheuch

Financial economist · Reproducible research · Data workflows

I’m an Associate Researcher at Humboldt University of Berlin, an Open Science Ambassador of the Berlin University Alliance, and a Data Editor at the Review of Financial Studies.

I co-created the open-source projects Tidy Finance and EconDataverse to foster reproducible research in finance and economics.

Through Tidy Intelligence, I audit and improve data workflows. I also offer trainings in the practices that keep their results trustworthy.

Research

Peer-Reviewed

The dark side of liquid bonds in fire sales

Chaderina, M., Muermann, A., & Scheuch, C.

Building trust takes time: Limits to arbitrage for blockchain-based assets

Hautsch, N., Scheuch, C., & Voigt, S.

Books

Tidy Finance with Python

Scheuch, C., Voigt, S., Weiss, P., & Frey, C.

Tidy Finance with R

Scheuch, C., Voigt, S., & Weiss, P.

Working Papers

Liquidity management of mutual funds

Chaderina, M. & Scheuch, C.

Randomness in large language models: What researchers need to know (and report)

Coqueret, G., Llull, J., Oswald, F., Pérignon, C., Scheuch, C., & Vilhuber, L.

Perceived precautionary savings motives: Evidence from FinTech

D’Acunto, F., Rauter, T., Scheuch, C., & Weber, M.

Teaching

Current

Empirical Research in Finance

Students apply core financial theory to real-world data with generative AI tools and prepare for their bachelor thesis.

Bachelor Thesis Seminar in Finance

How to plan, research, and write a bachelor thesis in finance.

Financial Economics for Citizens

Financial economics from the perspective of a nation’s citizens. Students practice collaborating effectively with AI and with each other.

Reproducible Research Workflows

Techniques for reproducible empirical research and efficient collaboration.

Past

Foundations for Reproducible Research

Reproducible empirical finance research with hands-on coding in Python.