自动驾驶投资组合：面向机构资产管理的智能体架构 / The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
1️⃣ 一句话总结
这篇论文提出了一种由约50个专业AI智能体组成的自动化投资管理架构，它们能生成市场预测、构建并评审投资组合，并通过一个元智能体持续学习和改进，最终在投资政策声明的框架内实现近乎自主的资产管理。
arXiv 提交日期: 2026-04-02
Abstract - The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
Agentic AI shifts the investor's role from analytical execution to oversight. We present an agentic strategic asset allocation pipeline in which approximately 50 specialized agents produce capital market assumptions, construct portfolios using over 20 competing methods, and critique and vote on each other's output. A researcher agent proposes new portfolio construction methods not yet represented, and a meta-agent compares past forecasts against realized returns and rewrites agent code and prompts to improve future performance. The entire pipeline is governed by the Investment Policy Statement--the same document that guides human portfolio managers can now constrain and direct autonomous agents.
源自 arXiv: 2604.02279