I’m an Associate Researcher at Humboldt University of Berlin 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 research workflows: mapping how raw data becomes results, reporting where a workflow is fragile and what to fix first. I also train teams in the practices that keep their results reproducible.

Learn more Follow on Follow on Follow on

Research

Peer-Reviewed

Chaderina, M., Muermann, A., & Scheuch, C. (2026). The dark side of liquid bonds in fire sales. Management Science, Forthcoming. doi.org/10.1287/mnsc.2023.03670

Hautsch, N., Scheuch, C., & Voigt, S. (2024). Building trust takes time: Limits to arbitrage for blockchain-based assets. Review of Finance, 28 (4), 1345–1381. doi.org/10.1093/rof/rfae004

Books

Scheuch, C., Voigt, S., Weiss, P., & Frey, C. (2024). Tidy Finance with Python. Chapman and Hall/CRC. doi.org/10.1201/9781032684307

Scheuch, C., Voigt, S., & Weiss, P. (2023). Tidy Finance with R. Chapman and Hall/CRC. doi.org/10.1201/b23237

Working Papers

Coqueret, G., Llull, J., Oswald, F., Pérignon, C., Scheuch, C., & Vilhuber, L. (2026). Randomness in large language models: What researchers need to know (and report). Working Paper. doi.org/10.2139/ssrn.7191580

D’Acunto, F., Rauter, T., Scheuch, C., & Weber, M. (2020). Perceived precautionary savings motives: Evidence from FinTech. NBER Working Paper No. 26817, National Bureau of Economic Research. doi.org/10.3386/w26817

Teaching

Foundations for Reproducible Research at Barcelona School of Economics: An annual summer school on reproducible empirical finance research, with hands-on coding in Python.

Empirical Research in Finance at Humboldt University of Berlin: A regular seminar on applying core financial theory to real-world data using generative AI tools, designed to prepare students for their bachelor thesis.

Reproducible Research Workflows at Vienna Graduate School of Finance: An annual workshop on reproducibility techniques and efficient collaboration for empirical research.