Online Algorithms for the Portfolio Selection Problem

Robert Dochow mathematically derives a simplified classification structure of selected types of the portfolio selection problem. He proposes two new competitive online algorithms with risk management, which he evaluates analytically. The author empirically evaluates online algorithms by a comprehens...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Dochow, Robert (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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024 7 |a 10.1007/978-3-658-13528-7  |2 doi 
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100 1 |a Dochow, Robert.  |e author. 
245 1 0 |a Online Algorithms for the Portfolio Selection Problem  |h [electronic resource] /  |c by Robert Dochow. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Gabler,  |c 2016. 
300 |a XXVI, 185 p. 16 illus.  |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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505 0 |a Performance Evaluation -- Selected Algorithms from the Literature -- Proposed Algorithms with Risk Management -- Empirical Testing of Algorithms -- A Software Tool for Testing. 
520 |a Robert Dochow mathematically derives a simplified classification structure of selected types of the portfolio selection problem. He proposes two new competitive online algorithms with risk management, which he evaluates analytically. The author empirically evaluates online algorithms by a comprehensive statistical analysis. Concrete results are that follow-the-loser algorithms show the most promising performance when the objective is the maximization of return on investment and risk-adjusted performance. In addition, when the objective is the minimization of risk, the two new algorithms with risk management show excellent performance. A prototype of a software tool for automated evaluation of algorithms for portfolio selection is given. Contents • Performance Evaluation • Selected Algorithms from the Literature • Proposed Algorithms with Risk Management • Empirical Testing of Algorithms• A Software Tool for Testing Target Groups • Scientists and students from the fields of finance, operations research, and machine learning • Practitioners in banks and insurance companies, traders and brokers The Author Dr. Robert Dochow completed his dissertation under the supervision of Prof. Dr. Günter Schmidt at the Chair of Operations Research and Business Informatics of Saarland University, Saarbrücken, Germany. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Investment banking. 
650 0 |a Securities. 
650 0 |a Economic theory. 
650 1 4 |a Economics. 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Investments and Securities. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783658135270 
856 4 0 |u http://dx.doi.org/10.1007/978-3-658-13528-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ECF 
950 |a Economics and Finance (Springer-41170)