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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Qin, Zhongfeng (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
Σειρά:Uncertainty and Operations Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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. .