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Agentic Finance

Name: Agentic Finance
Brand: Unknown
SKU: 9781394380879
Price: 104.99 NZD
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Mathematics, Architecture, and Governance for AI Agents in Finance

By Miquel Noguer Alonso and David Pacheco Aznar

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Brief Description

Explore how autonomous AI agents are transforming financial markets and decision-making In Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance, Miquel Noguer Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems operate independently in financial contexts. The book explores... Read More

Format: Hardback

$104⁹⁹

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Releases 5^th December 2026 (Approx. Date) Pre-order "Agentic Finance" now to secure your copy from our first shipment

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Agentic Finance

$104⁹⁹

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Description

Explore how autonomous AI agents are transforming financial markets and decision-making

In Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance, Miquel Noguer Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems operate independently in financial contexts. The book explores how agentic technologies—AI systems capable of independent reasoning, planning, and action—are reshaping how financial institutions approach analysis, trading, and risk management.

The book explores the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation.

Readers will also discover:

The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimisation, and probabilistic reasoning frameworks
How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimisation, and financial forecasting applications
Technical architectures enabling AI agents to operate autonomously while maintaining appropriate oversight and governance in financial environments
Real-world applications demonstrating how autonomous systems analyse markets, execute strategies, and adapt to changing conditions
The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts

Agentic Finance serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders seeking to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

Book Details

INFORMATION

ISBN: 9781394380879

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 01 December 2026

Country: United States

Imprint: John Wiley & Sons Inc

Audience: General / adult

DIMENSIONS

Weight: 0g

Pages: 480

Collections

Business & Entrepreneurship Business Leadership & Management Company Culture & Human Resources Computing & Technology David Pacheco Aznar Education & Reference Miquel Noguer Alonso Non-Fiction Non-Fiction Pre-Orders Pre-order Books Pre-Order Business & Entrepreneurship Pre-orders Pre-orders by Release Date

About the Author

MIQUEL NOGUER ALONSO, PhD, MBA, is the Founder of the Artificial Intelligence Financial Institute and Head of Development at Global AI. He is also a Professor at NYU Courant Institute of Mathematical Sciences. With 25+ years in asset management, including a decade on the European Investment Committee at UBS AG and service as Chief Investment Officer at Andbank, his research spans algorithmic trading and machine learning in finance.

DAVID PACHECO AZNAR is Head of AI Products at Staq.io, where AI agents manage users’ personal finances end to end. As a computational mathematician, he has built agents for autonomous investment research and credit risk, and has taught at Columbia University, NYU, and ESADE. His research spans reinforcement learning, generative time-series modeling, and production-grade agentic systems.

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