logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Online Algorithms For The Portfolio Selection Problem 1st Edition Robert Dochow Auth

  • SKU: BELL-5485460
Online Algorithms For The Portfolio Selection Problem 1st Edition Robert Dochow Auth
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Online Algorithms For The Portfolio Selection Problem 1st Edition Robert Dochow Auth instant download after payment.

Publisher: Gabler Verlag
File Extension: PDF
File size: 2.93 MB
Pages: 207
Author: Robert Dochow (auth.)
ISBN: 9783658135270, 9783658135287, 3658135271, 365813528X
Language: English
Year: 2016
Edition: 1

Product desciption

Online Algorithms For The Portfolio Selection Problem 1st Edition Robert Dochow Auth by Robert Dochow (auth.) 9783658135270, 9783658135287, 3658135271, 365813528X instant download after payment.

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.

Related Products