To what extent is resampling useful in portfolio management?
Francois Delcourt and
Mikael Petitjean
Applied Economics Letters, 2011, vol. 18, issue 3, 239-244
Abstract:
We take a new look at the resampled efficiencyTM technique developed by Michaud (1998) and compare it with the Markowitz mean-variance portfolio construction technique by assessing the performance of three representative portfolios, i.e. the Global Minimum Variance (GMV) portfolio, the Intermediate Return (I) portfolio and the Maximum Return (M) portfolio. We show that resampling leads to more stable and more diversified portfolios. However, the out-of-sample analysis shows that resampling does not systematically increase (decrease) the risk adjusted performance (turnover) of the portfolios.
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (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:apeclt:v:18:y:2011:i:3:p:239-244
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851003636123
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().