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Chapman and Hall/CRC Machine Learning for Factor Investing: Python Version Book

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Description

Machine learning is transforming quantitative finance and algorithmic trading. As hedge funds and asset managers adopt these tools for alpha signal generation and stock selection, the technical requirements can be a barrier for many. Machine Learning for Factor Investing: Python Version by Chapman and Hall/CRC bridges this gap for non-specialists. This book provides a comprehensive guide to modern machine learning-based investment strategies that rely on firm characteristics. It is designed to help readers navigate the jargon and coding requirements necessary to implement these advanced methods in a financial context. Part of the Chapman and Hall/CRC Financial Mathematics Series, this text serves as a practical resource for those looking to apply machine learning to factor investing using Python.

Key Features

This book is part of the professional Chapman and Hall/CRC Financial Mathematics Series.

The text focuses on machine learning applications for alpha signal generation and stock selection.

It provides a guide to modern investment strategies that rely on specific firm characteristics.

The Python version helps bridge the gap for non-specialists facing complex coding requirements.

Content covers the use of machine learning tools within quantitative finance and algorithmic trading.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 August 2023
Listed Since
21 January 2023

Barcode

No barcode data available

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