Navigating the Factor Zoo : The Science of Quantitative Investing

Michael Zhang

ISBN 10: 103276841X / ISBN 13: 9781032768410

Published by Routledge, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Bridging the gap between theoretical asset pricing and industry practices in factors and factor investing, Zhang et al. provides a comprehensive treatment of factors, along with industry insights on practical factor development. A useful resource for investment management professionals and students in quantitative finance.

Seller Inventory # 9781032768410

Bibliographic Details

• Title: Navigating the Factor Zoo : The Science of Quantitative Investing
• Publisher: Routledge
• Publication Date: 2024
• Language: English
• ISBN 10: 103276841X
• ISBN 13: 9781032768410
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 17D millimeters 234 millimeters width by 156 millimeters height by 17 millimeters depth
• Weight: 477 grams

About this title

Synopsis

Bridging the gap between theoretical asset pricing and industry practices in factors and factor investing, Zhang et al. provides a comprehensive treatment of factors, along with industry insights on practical factor development.

Chapters cover a wide array of topics, including the foundations of quantamentals, the intricacies of market beta, the significance of statistical moments, the principles of technical analysis, and the impact of market microstructure and liquidity on trading. Furthermore, it delves into the complexities of tail risk and behavioral finance, revealing how psychological factors affect market dynamics. The discussion extends to the sophisticated use of option trading data for predictive insights and the critical differentiation between outcome uncertainty and distribution uncertainty in financial decision-making. A standout feature of the book is its examination of machine learning's role in factor investing, detailing how it transforms data preprocessing, factor discovery, and model construction. Overall, this book provides a holistic view of contemporary financial markets, highlighting the challenges and opportunities in harnessing alternative data and machine learning to develop robust investment strategies.

This book would appeal to investment management professionals and trainees. It will also be of use to graduate and upper undergraduate students in quantitative finance, factor investing, asset management and/or trading.

About the Author

Michael Zhang is the founder of Super Quantum Fund. He has over 20 years of experience in quantitative investing. He publishes in the most prestigious academic journals and has been highly cited. He holds a PhD from MIT, an MSc, and two bachelor’s degrees from Tsinghua University.

Tao Lu is the CEO of Super Quantum Fund. He has extensive practical experience in portfolio management through quantitative methods and leading quantitative research teams. He holds a PhD from the Chinese University of Hong Kong and two bachelor’s degrees from Tsinghua University.

Chuan Shi is the chief data scientist at Beijing Liangxin Investment Management, specializing in factor investing, portfolio allocation, and risk management. He holds a PhD from MIT and bachelor's and master's degrees from Tsinghua University. He is the lead author of "Factor Investing: Methodology and Practice."