Uncertainty and Operations Research- Data-Driven Intelligent Financial Portfolio Selection

This book synthesizes the development and advanced methods in the financial investment decision making in the big data environment, and explores systematic solutions for quantitative portfolio selection problems by integrating theoretical elaboration with practical applications, while also summarizing the future development directions and trends of the field. It aims to provide a valuable reference for researchers in quantitative finance, and investment practitioners, as well as graduate students specializing in related disciplines.