On the performance of the minimum VaR portfolio

Robert Durand, John Gould and Ross Maller

The European Journal of Finance, 2011, vol. 17, issue 7, 553-576

Abstract: Alexander and Baptista [2002. Economic implications of using a mean-value-at-risk (VaR) model for portfolio selection: A comparison with mean-variance analysis. Journal of Economic Dynamics and Control 26: 1159-93] develop the concept of mean-VaR efficiency for portfolios and demonstrate its very close connection with mean-variance efficiency. In particular, they identify the minimum VaR portfolio as a special type of mean-variance efficient portfolio. Our empirical analysis finds that, for commonly used VaR breach probabilities, minimum VaR portfolios yield ex post returns that conform well with the specified VaR breach probabilities and with return/risk expectations. These results provide a considerable extension of evidence supporting the empirical validity and tractability of the mean-VaR efficiency concept.

Keywords: portfolio optimization; mean-variance efficiency; value-at-risk; Fama-French portfolios; iShares (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/1351847X.2010.495484 (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:eurjfi:v:17:y:2011:i:7:p:553-576

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20

DOI: 10.1080/1351847X.2010.495484

Access Statistics for this article

The European Journal of Finance is currently edited by Chris Adcock

More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().