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An Empirical Analysis of Alternative Portfolio Selection Criteria

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Author Info

  • Manfred GILLI

    (University of Geneva and Swiss Finance Institute)

  • Enrico SCHUMANN

    (University of Geneva)

Abstract

In modern portfolio theory, financial portfolios are characterised by a desired property, the ‘reward’, and something undesirable, the ‘risk’. While these properties are commonly identified with mean and variance of returns, respectively, we test alternative specifications like partial and conditional moments, quantiles, and drawdowns. More specifically, we analyse the empirical performance of portfolios selected by optimising risk–reward ratios constructed from these alternative functions. We find that these portfolios in many cases outperform our benchmark (minimum-variance), in particular when long-run returns are concerned. However, we also find that all the strategies tested seem quite sensitive to relatively small changes in the data. The main theme throughout our results is that minimising risk, as opposed to maximising reward, often leads to good out-of-sample performance. In contrast, adding a reward-function to the selection criterion improves a given strategy often only marginally.

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Bibliographic Info

Paper provided by Swiss Finance Institute in its series Swiss Finance Institute Research Paper Series with number 09-06.

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Length: 41 pages
Date of creation: Mar 2009
Date of revision:
Handle: RePEc:chf:rpseri:rp0906

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Web page: http://www.SwissFinanceInstitute.ch
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Related research

Keywords: Portfolio optimisation; Optimisation heuristics; Partial moments; Downside risk; Expected Shortfall; Value-at-Risk; Risk measures; Performance measures; Threshold Accepting;

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Cited by:
  1. Manfred Gilli & Enrico Schumann, 2009. "Optimal enough?," Working Papers 010, COMISEF.
  2. Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
  3. Manfred Gilli & Enrico Schumann, 2009. "Robust regression with optimisation heuristics," Working Papers 011, COMISEF.

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