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Machine Learning for Factor Investing

Af: Tony Guida, Guillaume Coqueret Engelsk Paperback
SPAR
kr 121

Machine Learning for Factor Investing

Af: Tony Guida, Guillaume Coqueret Engelsk Paperback

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 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 Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material 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 (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 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 Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material 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.

Produktdetaljer
Sprog: Engelsk
Sider: 340
ISBN-13: 9780367639723
Indbinding: Paperback
Udgave:
ISBN-10: 0367639726
Udg. Dato: 8 aug 2023
Længde: 21mm
Bredde: 177mm
Højde: 254mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 8 aug 2023
Forfatter(e) Tony Guida, Guillaume Coqueret


Kategori Investering og værdipapirer


Sprog Engelsk


Indbinding Paperback


Sider 340


Udgave


Længde 21mm


Bredde 177mm


Højde 254mm


Udg. Dato 8 aug 2023


Oplagsdato 8 aug 2023

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