Tractable Use of Large Language Models in Financial Economics Research

• Solo-authored

• Working draft (2026)

 Vocal Delivery Quality in Earnings Conference Calls

• Co-authors: Bok Baik, David Kim, and Sangwon Yoon

• Journal of Accounting & Economics (2025)

Firm-Level Tax Audits: A Generative AI-Based Measurement 

• Co-author: Ga-Young Choi

• Working draft (2025)

Financial Statement Analysis with Large Language Models

• Co-authors: Maximilian Muhn and Valeri Nikolaev

• Working draft (2025)

• Update: My co-author identified some inconsistencies while attempting to replicate past analyses from this paper. Accordingly, the working paper is temporarily withdrawn from circulation while the research findings are reviewed.

Learning Fundamentals from Text

• Co-authors: Maximilian Muhn, Valeri Nikolaev, and Yijing Zhang

• Working draft (2024)

DEBATE: Devil's Advocate Based Assessment and Text Evaluation 

• Co-authors: Keonwoo Kim and Sangwon Yoon 

• ACL (2024)

Detecting Rumor Veracity with Only Textual Information by Double-Channel Structure

• Co-author: Sangwon Yoon

• NAACL (2022, Workshop)

Corporate Bankruptcy Prediction with Domain-Adapted BERT 

• Co-author: Sangwon Yoon

• EMNLP (2021, Workshop)

Context-Based Interpretation of Financial Information 

• Co-author: Valeri Nikolaev

•  Journal of Accounting Research (Forthcoming)

Persona Zoo (with Sangwon Yoon)

Reasoning Quality (with Sangwon Yoon)

Relative ESG Evaluation (with Kyungmin Kim and Jongsub Lee)

Geopolitical Risks (with Roope Keloharju, Jingoo Kwon, and David Park)