AI

AI Persuasion, Bayesian Attribution, and Career Concerns of Decision-Makers

This paper studies AI persuasion by distinguishing between two reasons for disagreement: attention differences, where the AI detects features the decision-maker missed, and comprehension differences, where the AI and the decision-maker interpret …

Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market

We present a multi-agent, AI-driven framework for fundamental investing that integrates macro indicators, industry-level and firm-specific information to construct optimized equity portfolios. The architecture comprises: (i) a Macro agent that …