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Diversification Benefits of Commodities: A Stochastic Dominance Efficiency Approach

Author

Listed:
  • Charoula Daskalaki

    () (University of Piraeus)

  • George Skiadopoulos

    () (Queen Mary University of London and University of Piraeus)

  • Nikolas Topaloglou

    () (Athens University of Economics and Business)

Abstract

We revisit the question whether commodities should be included in investors' portfolios. We employ for the first time a stochastic dominance efficiency (SDE) approach to construct optimal portfolios with and without commodities and we evaluate their comparative performance. SDE circumvents the necessity to posit a specific utility function to describe investor's preferences and it does not impose distributional assumptions on asset returns. We find that commodities provide diversification benefits both in- and out- of-sample. This evidence is stronger when commodity indices which mimic dynamic commodity trading strategies are used. We explain our results by documenting that commodity markets are segmented from the equity and bond markets.

Suggested Citation

  • Charoula Daskalaki & George Skiadopoulos & Nikolas Topaloglou, 2016. "Diversification Benefits of Commodities: A Stochastic Dominance Efficiency Approach," Working Papers 797, Queen Mary University of London, School of Economics and Finance.
  • Handle: RePEc:qmw:qmwecw:wp797
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    Cited by:

    1. Fethke, Tobias & Prokopczuk, Marcel, 2018. "Is Commodity Index Investing Profitable?," Hannover Economic Papers (HEP) dp-635, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    More about this item

    Keywords

    Alternative investments; Commodity indices; Market integration; Portfolio choice; Stochastic dominance;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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