£115.00

CRC Press Machine Learning for Factor Investing: R Version

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£167.31 £109.77 £122.32 £134.88 £147.43 £159.99 £172.54 19 March 2026 01 April 2026 14 April 2026 27 April 2026 11 May 2026

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Description

Machine learning is changing the way hedge funds and asset managers approach quantitative finance and algorithmic trading. As these tools become standard for alpha signal generation and stock selection, staying ahead requires understanding how to apply these technologies to real-world investment strategies. Machine Learning for Factor Investing: R Version bridges the gap between complex technical theory and practical application. This book is designed for those who want to use modern machine learning methods to build strategies based on firm characteristics. By focusing on the R programming language, it provides a clear path for practitioners to implement advanced models without being overwhelmed by jargon or difficult coding requirements. Part of the Chapman and Hall/CRC Financial Mathematics Series, this text offers a comprehensive look at how machine learning tools are used in the industry today. It serves as a practical guide for non-specialists looking to join the movement toward data-driven investment management and factor-based strategies.

Key Features

Provides a comprehensive tour of modern machine learning based investment strategies.

Focuses on the practical application of firm characteristics for factor investing.

Uses the R programming language to bridge the gap between theory and coding.

Explains machine learning tools used by hedge funds for alpha signal generation.

Designed to help non-specialists understand complex quantitative finance concepts.

Part of the professional Chapman and Hall/CRC Financial Mathematics Series.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 September 2020
Listed Since
05 May 2020

Barcode

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