Uncertain Portfolio Optimization

This book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content mainly reflects the author’s extensive work on uncertainty portfolio optimization in recent years. Considering security returns as different variables, the book...

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Bibliographic Details
Main Author: Qin, Zhongfeng (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Series:Uncertainty and Operations Research,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Preface
  • 1 Preliminaries
  • 2 Credibilistic Mean-Variance-Skewness Model
  • 3 Credibilistic Mean-Absolute Deviation Model
  • 4 Minimization Model
  • 5 Uncertain Mean-Semiabsolude Deviation Model
  • 6 Uncertain Mean-LPMs Model
  • 7 Interval Mean-Semiabsolute Deviation Model
  • 8 Uncertain Random Mean-Variance Model
  • 9 Fuzzy Random Mean-Variance Adjusting Model
  • 10 Random Fuzzy Mean-Risk Model
  • Bibliography
  • List of Frequently Used Symbols. .