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Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series) - Hardcover
Synopsis
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides...
About the Author
Guillaume Coqueret is associate professor of finance and data science at EMLYON Business School. His recent research revolves around applications of machine learning tools in financial economics.
Tony Guida is co-head of Systematic Macro at RAM Active Investments. He is the editor and co-author of Big Data and Machine Learning in Quantitative Investment.
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2023
- ISBN 10 0367639742
- ISBN 13 9780367639747
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages340
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