Approximating the Growth Optimal Portfolio with a Diversified World Stock Index
Truc Le and
Eckhard Platen ()
No 180, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney
Abstract:
This paper constructs and compares various total return world stock indices based on daily data. Due to diversification these indices are noticeably similar. A diversification theorem identifies any diversified portfolio as a proxy for the growth optimal portfolio. The paper constructs a diversified world stock index that outperforms a number of other indices and argues that it is a good proxy for the growth optimal portfolio. This has applications to derivative pricing and investment management.
Keywords: world stock index; growth optimal portfolio; diversification; mean-variance portfolio selection; enhanced index fund (search for similar items in EconPapers)
JEL-codes: G10 G13 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2006-08-01
New Economics Papers: this item is included in nep-cfn, nep-fin and nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Published as: Le, T. and Platen, E, 2006, "Approximating the Growth Optimal Portfolio with a Diversified World Stock Index", The Journal of Risk Finance, 7(5), 559-574.
Downloads: (external link)
https://www.uts.edu.au/sites/default/files/qfr-archive-02/QFR-rp180.pdf (application/pdf)
Related works:
Working Paper: Approximating the Growth Optimal Portfolio with a Diversified World Stock Index (2006) 
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:uts:rpaper:180
Access Statistics for this paper
More papers in Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney PO Box 123, Broadway, NSW 2007, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Duncan Ford ().