Specifications
| Publisher | Cambridge University Press |
| ISBN 13 | 9781316516195 |
| ISBN 10 | 1316516199 |
| Book Description | Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researc |
| About the Author | Agostino Capponi is Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University. He conducts research in financial technology and market microstructure. His work has been recognized with the NSF CAREER Award, and a JP Morgan AI Research award. Capponi is a co-editor ofManagement Science and Mathematics and Financial Economics. He is a Council member of theBachelier Financial Society, and recently served as Chair of theSIAM-FME and INFORMS Finance.Charles-Albert Lehalle is Global Head of Quantitative R&D at Abu Dhabi Investment Authority and Visiting Professor at Imperial College London. He has a Ph.D. in machine learning, was previously Head of Data Analytics at CFM, and held different Global Head positions at Crdit Agricole CIB. Recognized as an expert in market microstructure, Lehalle is often invited to present to regulators and policy-makers. Read more |
| Language | English |
| Author | Capponi, Agostino ; Lehalle, Charles-Albert |
| Language | English |
| Publication Date | 2023 |
| Number of Pages | 741 |
Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices
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