Name: Machine Learning for Asset Managers
ISBN: 9781108792899

Book information

Authors: Marcos Lopez de Prado verified identity
First published: 2020
Editions known: 2
Publishers: Cambridge University Press
Languages: eng
ISBN-13: 9781108792899, 9781108883658
Main topics: Financial Machine Learning
Related site topics: Machine Learning for Market Forecasting

Overview

Machine Learning for Asset Managers is a book by Marcos Lopez de Prado, first published in 2020. In this catalogue it is classified mainly under Financial Machine Learning.

Audience and depth. The available metadata did not allow a mathematical difficulty estimate, so none is shown; treat the technical level as unknown.

Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).

How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 57% and difficulty confidence is 0%; the catalogue lists no ratings or awards.

Research assessment

Rule-based and model-derived from metadata (title, subject headings, edition data). These are not reviews or ratings; see the evidence below.

Quant-finance relevance	58/100 confidence 57% Score 57.5/100. Strongest: quant_relevance 0.84, metadata_completeness 0.85; weakest: practical_applicability 0.00. Evidence: title:'machine learning for asset'. Difficulty unknown (neutral technical_depth).
Mathematical difficulty	Unknown
Metadata quality	65%

Difficulty evidence (1 signal)

machine_learning matched in title: “machine learning”

Research connections

Related papers on this site

Similarity of research area (shared vocabulary, topics and methods). Not citations: the paper does not necessarily cite this book.

Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers Topic similarity inferred similarity 0.59
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms Topic similarity inferred similarity 0.59
Predicting Market Troughs: A Machine Learning Approach with Causal Interpretation Topic similarity inferred similarity 0.59
Mathematics of Differential Machine Learning in Derivative Pricing and Hedging Topic similarity inferred similarity 0.59
Uncertainty-Adjusted Sorting for Asset Pricing with Machine Learning Topic similarity inferred similarity 0.59
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing Topic similarity inferred similarity 0.59

External resources

Open Library
DOI
Search on Amazon (ISBN-13 9781108883658) (search link; may be an affiliate link)

Relationship graph

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