Rao’s quadratic entropy and maximum diversification indexation
Benoît Carmichael,
Nettey Boevi Gilles Koumou () and
Kevin Moran
Quantitative Finance, 2018, vol. 18, issue 6, 1017-1031
Abstract:
This paper proposes a new formulation of the maximum diversification indexation strategy based on Rao’s Quadratic Entropy. It clarifies the investment problem underlying this diversification strategy, identifies the source of its out-of-sample performance, and suggests new dimensions along which this performance can be improved. We show that these potential improvements are quantitatively important and are robust to portfolio turnover, portfolio risk, estimation window, and covariance matrix estimation.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/14697688.2017.1383625 (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:taf:quantf:v:18:y:2018:i:6:p:1017-1031
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20
DOI: 10.1080/14697688.2017.1383625
Access Statistics for this article
Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral
More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().