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Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary

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Capponi teaching at Columbia University.

Written by Columbia University Professor Agostino Capponi

Edited by Charles-Albert Lehalle, Global Head – Quantitative Research & Development at Abu Dhabi Investment Authority (ADIA)

Profile photo of Charles-Albert Lehalle

Leveraging the research efforts of more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. The text is structured around three main areas: ‘Interactions with investors and asset owners,’ which covers robo-advisors and price formation; ‘Risk intermediation,’ which discusses derivative hedging, portfolio construction, and machine learning for dynamic optimization; and ‘Connections with the real economy,’ which explores nowcasting, alternative data, and ethics of algorithms. Accessible to a wide audience, this invaluable resource will allow practitioners to include machine learning driven techniques in their day-to-day quantitative practices, while students will build intuition and come to appreciate the technical tools and motivation for the theory.

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

“This book stands as an indispensable teaching resource for any core course focused on the intersection of machine learning (ML) and finance. With meticulous care, it curates a range of key algorithms and techniques from the expansive field of ML, offering detailed insights into their customization for solving complex problems in financial engineering. Students will benefit from a focused and lucid understanding of how ML algorithms and techniques are transforming the financial landscape, all while avoiding the potential overwhelm that comes with the extensive and multifaceted body of ML knowledge.”

Buy the book!

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices: Capponi, Agostino, Lehalle, Charles-Albert: 9781316516195: Amazon.com: Books