Artificial Intelligence in Finance, Volume 1: by Miquel Noguer I. Alonso, Daniel Bloch and David Pacheco Aznar

Raphaël Douady ()
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Raphaël Douady: CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique

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Abstract: The main focus of the article is the book "Artificial Intelligence in Finance (Volume 1)," which explores the transformative impact of artificial intelligence (AI) on the financial sector. The authors provide a comprehensive introduction to machine learning concepts and advanced topics, including neural networks and large language models, making the content accessible to readers with varying levels of expertise in statistics and finance. The book balances theoretical foundations with practical applications, illustrating how AI techniques can be utilized in financial tasks such as portfolio management and risk analysis. It sets the stage for a forthcoming second volume that will delve deeper into reinforcement learning and broader AI applications in finance.

Keywords: PORTFOLIO management (Investments); FINANCIAL services industry; ARTIFICIAL neural networks; LANGUAGE models; REINFORCEMENT learning; RISK assessment; MACHINE learning; ARTIFICIAL intelligence (search for similar items in EconPapers)
Date: 2025-08-13
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Published in University Paris 1 - Pantheon - Sorbonne. 2025, pp.1029-1030

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Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:hal-05611576

DOI: 10.1080/14697688.2025.2491689

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