Research
I am Reeyarn Li, postdoctoral researcher at Paderborn University, Germany, and incoming faculty at CUNEF Universidad (Madrid). Between July and December 2025 I was a visiting scholar at the University of North Carolina at Chapel Hill. My research sits at the intersection of accounting, finance, and applied machine learning.
Published
Journal articles
Huang, Hui & Li (2019) — Journal of Accounting Research
Federal Judge Ideology: A New Measure of Ex Ante Litigation Risk. Journal of Accounting Research 57(2): 431–489. Wiley ↗ · Blog post · Replication code (LiberalCourt)
Franke, Huang, Li & Wang (2023) — Review of Finance
Securities Law Precedents, Legal Liability, and Financial Reporting Quality. Review of Finance 28(2): 413–445. Oxford Academic ↗
Degen, Kengelbach, Li, Pietrogrande & Sievers — Corporate Finance (forthcoming)
Beer, Cars & Fundamentals: Predicting German M&A activity.
Hofmann, Li & Sievers (2025) — KOR
Vierjährige Erfahrungen mit der ESEF-Berichterstattung in Deutschland: Herausforderungen und Chancen. PDF ↗ · Online appendix / data
Working papers
- Kim, J., Li, R., & Petacchi, R. (2025). Measuring the Informativeness of Audit Reports: A Machine Learning Approach.
- Landsman, W., Li, R., & Sievers, S. (2025). Investor Inattention to Earnings Metadata.
Work in progress
- Li, R. (2025). The Economic Role of Non-GAAP Earnings. SSRN 5926002 ↗
- Kaiser, S., Li, R., & Sievers, S. (2025). Centralized Electronic Reporting and Disclosure Informativeness: Evidence from a Top-Down Regulatory Change in Germany. — EAA 2025 Annual Congress. Slides
- Franke, B., Kaiser, S., Li, R., Schlackl, F. & Sievers, S. (2025). Changes in Firms' Business Models and Accrual Estimation. — EAA 2025 Annual Congress.
- XBRL + deep learning — see the code page and GitHub.