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Artificial Intelligence and Financial Markets

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AI in the Financial Markets

Part of the book series: Computational Social Sciences ((CSS))

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Abstract

Artificial intelligence is a branch of computer science concerned with the development of intelligent machines that function and behave similarly to humans. A.I. is based on the notion that a machine can simulate the human brain and that, given enough data, a machine can learn to think and act like a human. As a result, we can apply artificial intelligence to financial markets and predict future trends, for example. A machine can also be trained to recognize patterns in buyer dynamics and then use this knowledge to forecast future prices. I could go on and on, but the main point is: why is AI useful in the context of credit markets? What are the advantages of applying artificial intelligence to finance? In brief, this book is dedicated to explaining this: Improved accuracy: AI can aid in the prediction of closing prices, opening prices, and other financial data. This can lead to better decisions and more profitable trades. Improved service: Artificial intelligence can be used to improve customer service in financial institutions. It can, for example, be used to assist customers with account inquiries or to provide a technical analysis of the market. Reduced costs: AI can assist in lowering the costs of running a financial institution. It can be used to automate processes or improve operational efficiency, for example.

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Authors and Affiliations

  1. LABSS-ISTC-CNR, Via Palestro 32, 00185, Rome, Italy

    Federico Cecconi

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  1. Federico Cecconi
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Correspondence to Federico Cecconi .

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Editors and Affiliations

  1. Laboratory of Agent Based Social Simulation, Institute of Cognitive Sciences and Technologies-National Research Council, Rome, Italy

    Federico Cecconi

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Cecconi, F. (2023). Artificial Intelligence and Financial Markets. In: Cecconi, F. (eds) AI in the Financial Markets . Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-26518-1_1

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  • DOI: https://doi.org/10.1007/978-3-031-26518-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26517-4

  • Online ISBN: 978-3-031-26518-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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