Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing

Michael Robbins

ISBN 10: 1264258445 / ISBN 13: 9781264258444

Published by McGraw-Hill Education, 2023

2023. 1st Edition. Hardcover. . . . . . Seller Inventory # V9781264258444

Synopsis:

Big data combined with machine learning and artificial intelligence provides amazing opportunities for institutional investors—and this comprehensive resource walks you through the process of leveraging them for all they are worth.
 
In a straightforward and unambiguous style, Quantitative Asset Management shows how to join factor investing and data science―machine learning applied to investing. Using instructive anecdotes and practical examples, including a companion website with working code, this innovative guide provides a toolkit for applying these modern tools to investing and includes such real-world details as currency controls, market impact, and taxes.
 
Quantitative Asset Management reveals the entire investing process, from designing goals to planning, research, implementation, testing, and risk management. Inside, you'll find:
 

• Cutting-edge methods married to the actual strategies used by the most sophisticated institutions
• Real-world investment processes as employed by the largest investment companies
• A toolkit for investing as a professional
• Clear explanations of how to use modern quantitative methods to analyze investing options
• An accompanying online site with computer code and additional resources

 
Written by a seasoned financial investor who uses technology as a tool―as opposed to a technologist who invests―Quantitative Asset Management explains the author's methods without oversimplification or confounding theory and math. It demonstrates how leading institutions use Python and MATLAB to build alpha and risk engines, including optimal multi-factor models, contextual nonlinear models, multi-period portfolio implementation, and much more to manage multibillion-dollar portfolios.
 
Big data combined with machine learning provides amazing opportunities for institutional investors. This unmatched resource will get you up and running with a powerful new asset allocation strategy that benefits your clients, your organization, and your career.

About the Author: Michael Robbins is the Chief Investment Officer of a large investment firm. This is his sixth CIO appointment, including one for a bank with 8½ million clients. He has managed pensions, endowments, family offices and was the Chief Risk Officer for the State of Utah's systems. Michael sits on private equity boards of directors and he is a professor at Columbia University, where he teaches quantitative investing including graduate classes in Global Macroeconomic Tactical Asset Allocation (GTAA) and Environmental, Social, and Governance (ESG) Investing.

Bibliographic Details

Title: Quantitative Asset Management: Factor ...
Publisher: McGraw-Hill Education
Publication Date: 2023
Binding: Hardcover
Condition: New
Edition: 1st Edition