Omega and Sharpe ratio
Eric Benhamou (),
Beatrice Guez and
Nicolas Paris ()
Additional contact information
Nicolas Paris: AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)
Working Papers from HAL
Abstract:
Omega ratio, defined as the probability-weighted ratio of gains over losses at a given level of expected return, has been advocated as a better performance indicator compared to Sharpe and Sortino ratio as it depends on the full return distribution and hence encapsulates all information about risk and return. We compute Omega ratio for the normal distribution and show that under some distribution symmetry assumptions , the Omega ratio is oversold as it does not provide any additional information compared to Sharpe ratio. Indeed, for returns that have elliptic distributions , we prove that the optimal portfolio according to Omega ratio is the same as the optimal portfolio according to Sharpe ratio. As elliptic distributions are a weak form of symmetric distributions that generalized Gaussian distributions and encompass many fat tail distributions, this reduces tremendously the potential interest for the Omega ratio.
Keywords: Omega ratio; Sharpe ratio; normal distribution; elliptical distribution (search for similar items in EconPapers)
Date: 2020-07-01
New Economics Papers: this item is included in nep-fmk and nep-rmg
Note: View the original document on HAL open archive server: https://hal.science/hal-02886481v1
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-02886481v1/document (application/pdf)
Related works:
Working Paper: Omega and Sharpe ratio (2019) 
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:hal:wpaper:hal-02886481
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().