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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Qin, Zhongfeng (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Uncertainty and Operations Research,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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. .