Quantitative Asset Management – ePub

Looking to elevate your investment strategy, whether you’re overseeing large institutional portfolios or managing private wealth? Explore the powerful combination of machine learning and factor investing to unlock unprecedented growth and returns.

Quantitative Asset Management (ePub) provides a clear understanding of how to seamlessly integrate factor investing with data science, specifically focusing on the application of machine learning within the realm of big data. This insightful guide, packed with practical examples, real-world anecdotes, and engaging quiz questions, equips you with essential tools to deploy these advanced techniques in your investment approach. The book thoughtfully delves into crucial practical considerations like currency regulations, market impact, and tax implications. From setting investment goals and crafting a plan to executing research, implementation, testing, and effective risk management, this comprehensive resource guides you through every stage of the investment journey.

• Gain a professional toolkit for investing.
• Access an online platform featuring coding tools and applications.
• Discover real-world investment processes utilized by major financial institutions.
• Understand how to leverage modern quantitative methods to analyze investment opportunities.
• Explore cutting-edge methodologies used by sophisticated institutions to manage multibillion-dollar portfolios.

Written by an experienced financial investor who utilizes technology as a strategic tool rather than a technologist venturing into investing, Quantitative Asset Management clearly explains the author’s proven methods without oversimplifying complex theories or equations. The book demonstrates how leading institutions deploy Python and MATLAB to construct their alpha and risk engines, including sophisticated multi-factor models, contextually-aware nonlinear models, multi-period portfolio implementations, and much more for managing multibillion-dollar portfolios.

The convergence of big data and machine learning presents remarkable opportunities for institutional investors. This invaluable resource empowers you to implement a powerful new asset allocation strategy that benefits your clients, your organization, and your career.

978-1264258451, 978-1264258444

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Important Note: This sale includes only the original ePub format of the eBook Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing. A converted PDF version is available upon request. Please note that no access codes are included.