2024/10/01 by Chung-Chi Chen, Chen, Chung-Chi, Hiroya Takamura +5
Business, Management and Accounting · Economics, Econometrics and Finance · #Business Strategy and Innovation #Computation and Language (cs.CL) #Economic and Business Development Strategies #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2410.00354
openalex publication_date 2024/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper explores designing artificial organizations with professional behavior in investments using a multi-agent simulation. The method mimics hierarchical decision-making in investment firms, using news articles to inform decisions. A large-scale study analyzing over 115,000 news articles of 300 companies across 15 years compared this approach against professional traders' decisions. Results show that hierarchical simulations align closely with professional choices, both in frequency and profitability. However, the study also reveals biases in decision-making, where changes in prompt wording and perceived agent seniority significantly influence outcomes. This highlights both the potential and limitations of large language models in replicating professional financial decision-making.