A polynomial optimization approach to constant rebalanced portfolio selection
Yuichi Takano () and
Renata Sotirov ()
Computational Optimization and Applications, 2012, vol. 52, issue 3, 645-666
Abstract:
We address the multi-period portfolio optimization problem with the constant rebalancing strategy. This problem is formulated as a polynomial optimization problem (POP) by using a mean-variance criterion. In order to solve the POPs of high degree, we develop a cutting-plane algorithm based on semidefinite programming. Our algorithm can solve problems that can not be handled by any of known polynomial optimization solvers. Copyright The Author(s) 2012
Keywords: Multi-period portfolio optimization; Polynomial optimization problem; Constant rebalancing; Semidefinite programming; Mean-variance criterion (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s10589-011-9436-9 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection (2010) 
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:coopap:v:52:y:2012:i:3:p:645-666
Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589
DOI: 10.1007/s10589-011-9436-9
Access Statistics for this article
Computational Optimization and Applications is currently edited by William W. Hager
More articles in Computational Optimization and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().