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CRC Press Machine Learning for Factor Investing - R Version Book

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£184.58 £108.04 £124.74 £141.44 £158.14 £174.84 £191.54 11 August 2026 27 August 2026 13 September 2026 30 September 2026 17 October 2026
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Price range: £115 - £185

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Description

Machine Learning for Factor Investing: R Version is a comprehensive guide that bridges the gap between machine learning theory and practical investment strategy. This Chapman and Hall/CRC Financial Mathematics Series book covers modern ML-based investment approaches that leverage firm characteristics for alpha signal generation and stock selection. Designed for both specialists and non-specialists, it demystifies the technical jargon and coding requirements that often prevent practitioners from adopting ML tools in quantitative finance and algorithmic trading. The book provides a detailed tour of how hedge funds and asset managers increasingly use machine learning for factor-based investing, making advanced econometric and machine learning concepts accessible to finance professionals seeking to implement data-driven investment strategies.

Key Features

Chapman and Hall/CRC Financial Mathematics Series title covering modern machine learning methods applied to factor investing strategies.

R Version focuses on practical coding implementation, helping readers apply machine learning tools directly to investment analysis and portfolio construction.

Bridges technical jargon and econometric complexity, making advanced quantitative finance concepts accessible to non-specialist investors and finance professionals.

Covers alpha signal generation and stock selection techniques using firm characteristics and machine learning algorithms for improved investment outcomes.

Comprehensive resource for hedge funds and asset managers seeking to integrate machine learning into their quantitative trading and investment processes.

Product Specifications

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

Barcode

No barcode data available

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