CVaR in Portfolio Optimization: An Essay on the French Market
Houda Hafsa
International Journal of Financial Research, 2015, vol. 6, issue 2, 101-111
Abstract:
There has been a growing interest in CVaR as a financial risk measure in optimal allocation fields. This interest is based many key advantages of CVaR over the most used measures of risk: the Value-at-Risk and the variance. In this paper we develop an asset allocation model that allocates assets by minimizing CVaR subject to a desired expected return and we compare the performance of the resulting optimal portfolios with those resulting from the optimization of mean-variance model. The empirical study uses stocks from the SBF250 index. The purpose of the paper is to highlight the influence of the non-normal characteristics of the return distribution on the optimal asset allocation and test the superiority of the mean- CVaR approach over the mean-variance approach.
Keywords: portfolio optimization; VaR; CVaR; portfolio performance; non- normal distributions (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciedu.ca/journal/index.php/ijfr/article/view/6802/4075 (application/pdf)
http://www.sciedu.ca/journal/index.php/ijfr/article/view/6802 (text/html)
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:jfr:ijfr11:v:6:y:2015:i:2:p:101-111
Access Statistics for this article
International Journal of Financial Research is currently edited by Gina Perry
More articles in International Journal of Financial Research from International Journal of Financial Research, Sciedu Press
Bibliographic data for series maintained by Gina Perry ().