Agentic Finance

Understand the mathematics, architecture, and governance behind autonomous AI agents in finance Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance examines the emerging field where autonomous AI systems operate independently across financial markets. As AI agents capable of independent reasoning, planning, and action reshape how institutions approach analysis, trading, and risk management, this book delivers the technical grounding—spanning mathematical foundations, system architectures, and governance frameworks—needed to evaluate, design, and implement these transformative agentic technologies within financial organizations. Agentic Finance covers the core mathematical concepts underlying autonomous systems—reinforcement learning, optimization, and probabilistic reasoning—alongside the technical architectures enabling AI agents to function with appropriate oversight and governance. It reveals how leading innovators deploy agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting, while examining the evolving regulatory and ethical considerations surrounding autonomous decision-making within high-stakes financial contexts and regulated institutions. Written for quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders, this book delivers the precise technical and governance knowledge required to understand how autonomous AI systems are reshaping financial services and to rigorously assess the potential of agentic technologies within your own organization and investment processes. Explore how autonomous AI agents are transforming financial markets and decision-making In Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance,…