Advances in Financial Machine Learning

ISBN: 9781119482086
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RM215.36
Product Details

Publisher,JOHN WILEY
Publication Date,
Format, Hardcover
Weight, 790 g
No. of Pages, 400

Learn to understand and implement the latest machine learning innovations to improve your investment performance

Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.

In the book, readers will learn how to:

  • Structure big data in a way that is amenable to ML algorithms
  • Conduct research with ML algorithms on big data
  • Use supercomputing methods and back test their discoveries while avoiding false positives

Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.

Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

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Marcos López de Prado (Author)

Marcos López de Prado is a hedge fund manager, entrepreneur, inventor, and Cornell professor. Over the past 25 years, Marcos has helped modernize finance by pioneering machine learning and statistical inference methods that are now widely adopted at some of the largest investment corporations.

His contributions have earned him several scientific, state and industry awards, including the National Award for Academic Excellence (1999) by the Kingdom of Spain, the Quant Researcher of the Year Award (2019) by Portfolio Management Research, the Buy-Side Quant of the Year Award (2021) by Risk, and the Bernstein Fabozzi / Jacobs Levy Award (2024) by The Journal of Portfolio Management.

The Social Science Research Network (SSRN) ranks him among the 10 most-read authors in Economics, and he has testified before the U.S. Congress on AI policy. In 2024, His Majesty King Felipe VI and the Government of Spain appointed him Knight Officer of the Royal Order of Civil Merit (OMC), "for distinguished services to science and the global investment industry."