Online Algorithms for the Portfolio Selection Problem /

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Bibliographic Details
Author / Creator:Dochow, Robert, author.
Imprint:Wiesbaden : Springer Gabler, [2016]
©2016
Description:1 online resource (xxvi, 185 pages) : illustrations (black and white)
Language:English
Series:Research
Research (Wiesbaden, Germany)
Subject:
Format: E-Resource Dissertations Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11273932
Hidden Bibliographic Details
ISBN:9783658135287
365813528X
9783658135270
3658135271
Notes:Includes bibliographical references (pages 175-185).
Online resource; title from PDF title page (SpringerLink, viewed September 20, 2017).
Summary:"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."--Publisher's description.
Target Audience:Specialized.
Other form:Print version: Dochow, Robert. Online Algorithms for the Portfolio Selection Problem. Wiesbaden : Springer Gabler, [2016] 3658135271