On-line portfolio selection strategy with prediction in the presence of transaction costs
Sergio Albeverio,
LanJun Lao and
XueLei Zhao
Mathematical Methods of Operations Research, 2001, vol. 54, issue 1, 133-161
Abstract:
An on-line portfolio selection strategy with transaction costs is presented. It ensures investors to achieve at least the same exponential growth rate of wealth as the best stock for a long term. This equipped with a new prediction method based on “cross rates” for price relative sequences yields a profitable algorithm, which has been tested on real data from the London Stock Exchange. Copyright Springer-Verlag Berlin Heidelberg 2001
Keywords: Key words: Portfolio selection; On-line algorithm; Transaction costs; Prediction; Active portfolio management; Cross rate; Entropy (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1007/s001860100142 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mathme:v:54:y:2001:i:1:p:133-161
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s001860100142
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().