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About me

I am Reeyarn Li, currently a post-doc researcher at Paderborn University, Germany.

Published papers (and dataset)

Journal articles

Working papers

  • Kim, J., Li, R., & Petacchi, R. (2025). "Measuring the Informativeness of Audit Reports: A Machine Learning Approach"
  • Li, R., & Sievers, S. (2025). "Performance Disaggregation on the Income Statement." (Job Market Paper)
  • 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.
  • Franke, B., Kaiser, S., Li, R., Schlackl, F. & Sievers, S. (2025). "Changes in Firms’ Business Models and Accrual Estimation" EAA 2025 Annual Congress.

Working-in-progress

  • As is seen on my github, I'm working on something with XBRL and deep learning.

Open-source

Open-ESEF (github.com/reeyarn/openesef)

  • Open-ESEF is a Python-based open-source project for handling XBRL filings that follow ESEF, the European Single Electronic Format.

  • ESEF is a standard for electronic financial reporting developed by the European Securities and Markets Authority (ESMA).

  • This project contains open-source code from two repos:

    • XBRL-Model project.
    • SEC EDGAR Financial Reports project.
  • Project is under development.