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
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100 1 |a Qin, Zhongfeng.  |e author. 
245 1 0 |a Uncertain Portfolio Optimization  |h [electronic resource] /  |c by Zhongfeng Qin. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 192 p. 45 illus., 25 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Uncertainty and Operations Research,  |x 2195-996X 
505 0 |a 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. . 
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. 
650 1 4 |a Business and Management. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Operations Research, Management Science. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9789811018091 
830 0 |a Uncertainty and Operations Research,  |x 2195-996X 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-1810-7  |z Full Text via HEAL-Link 
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950 |a Business and Management (Springer-41169)