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Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Af: Michael Robbins Engelsk Hardback
SPAR
kr 238
Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Af: Michael Robbins Engelsk Hardback

Whether you are managing institutional portfolios or private wealth, augment your asset allocation strategy with machine learning and factor investing for unprecedented returns and growth

In a straightforward and unambiguous fashion, Quantitative Asset Management shows how to take join factor investing and data science—machine learning and applied to big data. Using instructive anecdotes and practical examples, including quiz questions and a companion website with working code, this groundbreaking guide provides a toolkit to apply these modern tools to investing and includes such real-world details as currency controls, market impact, and taxes. It walks readers through the entire investing process, from designing goals to planning, research, implementation, and 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 coding and apps

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. Quantitative Asset Management 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 provide 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.

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Whether you are managing institutional portfolios or private wealth, augment your asset allocation strategy with machine learning and factor investing for unprecedented returns and growth

In a straightforward and unambiguous fashion, Quantitative Asset Management shows how to take join factor investing and data science—machine learning and applied to big data. Using instructive anecdotes and practical examples, including quiz questions and a companion website with working code, this groundbreaking guide provides a toolkit to apply these modern tools to investing and includes such real-world details as currency controls, market impact, and taxes. It walks readers through the entire investing process, from designing goals to planning, research, implementation, and 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 coding and apps

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. Quantitative Asset Management 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 provide 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.

Produktdetaljer
Sprog: Engelsk
Sider: 496
ISBN-13: 9781264258444
Indbinding: Hardback
Udgave:
ISBN-10: 1264258445
Udg. Dato: 18 jul 2023
Længde: 44mm
Bredde: 164mm
Højde: 236mm
Oplagsdato: 18 jul 2023
Forfatter(e): Michael Robbins
Forfatter(e) Michael Robbins


Kategori Investering og værdipapirer


Sprog Engelsk


Indbinding Hardback


Sider 496


Udgave


Længde 44mm


Bredde 164mm


Højde 236mm


Udg. Dato 18 jul 2023


Oplagsdato 18 jul 2023

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