Machine Learning for Factor Investing: Python Version Coqueret Guillaume

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Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. 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. ML tools are incre… Celý popis ↓

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Machine Learning for Factor Investing: Python Version Coqueret Guillaume

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. 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. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection.

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. Machine learning for factor investing: Python version bridges this gap. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the

Machine Learning for Factor Investing: Python Version Coqueret Guillaume patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

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