Machine Learning for Asset Managers

Machine Learning for Asset Managers
Author :
Publisher : Cambridge University Press
Total Pages : 152
Release :
ISBN-10 : 9781108879729
ISBN-13 : 1108879721
Rating : 4/5 (29 Downloads)

Book Synopsis Machine Learning for Asset Managers by : Marcos M. López de Prado

Download or read book Machine Learning for Asset Managers written by Marcos M. López de Prado and published by Cambridge University Press. This book was released on 2020-04-22 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.


Machine Learning for Asset Managers Related Books

Machine Learning for Asset Managers
Language: en
Pages: 152
Authors: Marcos M. López de Prado
Categories: Business & Economics
Type: BOOK - Published: 2020-04-22 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be
Machine Learning for Asset Management
Language: en
Pages: 460
Authors: Emmanuel Jurczenko
Categories: Business & Economics
Type: BOOK - Published: 2020-10-06 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learnin
Advances in Financial Machine Learning
Language: en
Pages: 395
Authors: Marcos Lopez de Prado
Categories: Business & Economics
Type: BOOK - Published: 2018-01-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually eve
Machine Learning in Finance
Language: en
Pages: 565
Authors: Matthew F. Dixon
Categories: Business & Economics
Type: BOOK - Published: 2020-07-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli
Artificial Intelligence for Asset Management and Investment
Language: en
Pages: 326
Authors: Al Naqvi
Categories: Business & Economics
Type: BOOK - Published: 2021-02-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revol