The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management

By: Andrew Ang, Nazym Azimbayev, Andrey Kim

Published: 2026-04-03

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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.

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The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management | ArXiv Intelligence