Uncertain portfolio optimization
Gespeichert in:
Verfasser / Beitragende:
by Zhongfeng Qin
Ort, Verlag, Jahr:
Singapore :
Springer Singapore,
2016
Beschreibung:
Online-Ressource
Format:
Buch (online)
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| 245 | 1 | 0 | |a Uncertain portfolio optimization |c by Zhongfeng Qin |
| 264 | 1 | |a Singapore |b Springer Singapore |c 2016 | |
| 300 | |a Online-Ressource | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 0 | |a Uncertainty and Operations Research | |
| 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 | ||
| 650 | 0 | |a Business | |
| 650 | 0 | |a Operations research | |
| 650 | 0 | |a Decision making | |
| 650 | 0 | |a Management science | |
| 776 | 0 | 8 | |i Printed edition |z 9789811018091 |
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| 950 | |B IDSSG |P 776 |E 08 |i Printed edition |z 9789811018091 | ||
| 950 | |B IDSSG |P 856 |E 40 |u https://doi.org/10.1007/978-981-10-1810-7 |z Full text for the University of St. Gallen | ||