Machine Learning for Factor Investing: R Version

Name: Machine Learning for Factor Investing: R Version
Brand: Taylor & Francis Ltd
SKU: 9780367545864
Price: 30696 HUF
Availability: InStock

Szerző: Guillaume Coqueret, Tony Guida

Nyelv:

Kötés: Puha kötésű

Kiadó: Taylor & Francis Ltd

Elérhetőség: Beszállítói készleten alacsony példányszámban

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Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic...

Információk a könyvről

Szerző

Guillaume Coqueret, Tony Guida

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2020

oldal

321

EAN

9780367545864

ISBN

0367545861

Enbook ID

32708426

Kiadó

Taylor & Francis Ltd

Súly

718

Méretek

254 x 178 x 22

Teljes leírás

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: R Version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics.

The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees, and causal models.

All topics are illustrated with self-contained R code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.

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Machine Learning for Factor Investing: R Version

Információk a könyvről

Teljes leírás

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