Machine Learning and Data Sciences for Financial Markets : A Guide to Contemporary Practices
Language: English
Published by Cambridge University Press Jun 2023, 2023
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 163.87
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9781316516195
- Title
- Machine Learning and Data Sciences for Financial Markets : A Guide to Contemporary Practices
- Author
- Agostino Capponi
- Publisher
- Cambridge University Press Jun 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1316516199
- ISBN 13
- 9781316516195
- Item weight
- 1,660 grams
- Dimensions
- 257x182x38 mm
"Synopsis" may belong to another edition of this title.
About the Author
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 Crédit Agricole CIB. Recognized as an expert in market microstructure, Lehalle is often invited to present to regulators and policy-makers.
"About the title" may belong to another edition of this title.
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