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Simple and cross efficiency of CTAs using data envelopment analysis

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  • Greg Gregoriou
  • Fabrice Rouah
  • Stephen Satchell
  • Fernando Diz

Abstract

Data envelopment analysis (DEA) is applied, and basic and cross-efficiency models are used to evaluate the performance of CTA classifications. With the ever-increasing number of CTAs, there is an urgent requirement to provide money managers, pension funds, and high-net-worth individuals with a trustworthy appraisal method in ranking their efficiency. DEA can achieve this, and one important benefit of this measure is that benchmarks are not required, thereby alleviating the problem of using traditional benchmarks to examine non-normal returns. This article aims to investigate CTAs and to identify the ones that have achieved superior performance or, in other words, have an efficiency score of 100 in a risk/return setting.

Suggested Citation

  • Greg Gregoriou & Fabrice Rouah & Stephen Satchell & Fernando Diz, 2005. "Simple and cross efficiency of CTAs using data envelopment analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 11(5), pages 393-409.
    • Handle: RePEc:taf:eurjfi:v:11:y:2005:i:5:p:393-409
    DOI: 10.1080/1351847042000286667
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    Cited by:

    1. Jacques Pézier, 2011. "Rationalization of Investment Preference Criteria," ICMA Centre Discussion Papers in Finance icma-dp2011-12, Henley Business School, University of Reading.
    2. Tarnaud, Albane Christine & Leleu, Hervé, 2018. "Portfolio analysis with DEA: Prior to choosing a model," Omega, Elsevier, vol. 75(C), pages 57-76.
    3. Lamb, John D. & Tee, Kai-Hong, 2012. "Data envelopment analysis models of investment funds," European Journal of Operational Research, Elsevier, vol. 216(3), pages 687-696.
    4. J. Francisco Rubio & Neal Maroney & M. Kabir Hassan, 2018. "Can Efficiency of Returns Be Considered as a Pricing Factor?," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 25-54, June.
    5. Greg Gregoriou & Yao Chen, 2006. "Evaluation of Commodity Trading Advisors using fixed and variable and benchmark models," Annals of Operations Research, Springer, vol. 145(1), pages 183-200, July.
    6. S Lozano & E Gutiérrez, 2008. "TSD-consistent performance assessment of mutual funds," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1352-1362, October.
    7. Glawischnig, Markus & Sommersguter-Reichmann, Margit, 2010. "Assessing the performance of alternative investments using non-parametric efficiency measurement approaches: Is it convincing?," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 295-303, February.

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