Uncertain portfolio optimization

Verfasser / Beitragende:
by Zhongfeng Qin
Ort, Verlag, Jahr:
Singapore : Springer Singapore, 2016
Beschreibung:
Online-Ressource
Format:
Buch (online)
ID: 390169544
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520 |a 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 presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory, respectively. As such, it offers readers a comprehensive and up-to-date guide to uncertain portfolio optimization models 
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