Constructing Long/Short Portfolios with the Omega ratio
Manfred Gilli (),
Enrico Schumann,
Giacomo DI Tollo and
Gerda Cabej
Additional contact information
Giacomo DI Tollo: University of Pescara
Gerda Cabej: University of Geneva
No 08-34, Swiss Finance Institute Research Paper Series from Swiss Finance Institute
Abstract:
We construct portfolios with an alternative selection criterion, the Omega function, which can be expressed as the ratio of two partial moments of the returns distribution. Finding Omega-optimal portfolios, in particular under realistic constraints like cardinality restrictions, requires to solve non-convex optimisation problems. Since standard (gradient-based) optimisation methods fail here, we suggest to use a heuristic technique (Threshold Accepting). The main purpose of the paper is to investigate the empirical performance of the selected portfolios, especially the effects of allowing short positions. Many studies on portfolio optimisation assume that short sales are not allowed. This is despite the fact that theoretically, short positions can improve the risk-return characteristics of a portfolio, and practically, institutional investors can and do sell stocks short.We investigate whether removing the non-negativity constraint really improves out-of-sample portfolio performance under realistic assumptions, that is when optimal weights need to be estimated from the data, different transaction costs apply to long and short positions or short selling is restricted to specific assets.
Keywords: Optimisation heuristics; Threshold Accepting; Portfolio Optimisation (search for similar items in EconPapers)
JEL-codes: C61 C63 G11 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2008-10
References: Add references at CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1289269 (application/pdf)
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:chf:rpseri:rp0834
Access Statistics for this paper
More papers in Swiss Finance Institute Research Paper Series from Swiss Finance Institute Contact information at EDIRC.
Bibliographic data for series maintained by Ridima Mittal ().