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Online Algorithms for the Portfolio Selection Problem

Online Algorithms for the Portfolio Selection Problem

Online Algorithms for the Portfolio Selection Problem Paperback - 2016

by Robert Dochow

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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. Th
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Details

  • Title Online Algorithms for the Portfolio Selection Problem
  • Author Robert Dochow
  • Binding Paperback
  • Condition New
  • Pages 185
  • Volumes 1
  • Language ENG
  • Publisher Springer Gabler
  • Publication date 2016-06-02
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ria9783658135270_inp
  • ISBN 9783658135270 / 3658135271
  • Weight 0.57 lbs (0.26 kg)
  • Dimensions 8.27 x 5.83 x 0.45 in (21.01 x 14.81 x 1.14 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 330.1
  • Quantity available 324

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Reader reviews for Online Algorithms for the Portfolio Selection Problem

From the publisher

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.

From the rear cover

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 AuthorDr. Robert Dochow completed his dissertation under the supervision of Prof. Dr. Gnter Schmidt at the Chair of Operations Research and Business Informatics of Saarland University, Saarbrcken, Germany.

About the author

Dr. Robert Dochow completed his dissertation under the supervision of Prof. Dr. Gnter Schmidt at the Chair of Operations Research and Business Informatics of Saarland University, Saarbrcken, Germany.
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