The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
By: Andrew Ang, Nazym Azimbayev, Andrey Kim
Published: 2026-04-03
View on arXiv →#cs.AI
Abstract
This paper proposes an autonomous multi-agent system for institutional portfolio management. It introduces a hierarchical decision-making agentic architecture that aims to automate and optimize asset management strategies, offering a novel approach to address the complexities and challenges in financial markets through AI.