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

McGraw-Hill Education

$69.52 - $79.95
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UPC:
9781264258444
Maximum Purchase:
2 units
Binding:
Hardcover
Publication Date:
6/16/2023
Author:
Robbins, Michael
Language:
English: Published; English: Original Language; English
Edition:
1
Pages:
496
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Big data combined with machine learning and artificial intelligence provides amazing opportunities for institutional investorsand 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 sciencemachine 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 toolas opposed to a technologist who investsQuantitative 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.