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Performance Evaluation of Utility Exchange-Traded Funds: A Super-Efficiency Approach

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  • Ioannis E. Tsolas

    (School of Applied Mathematical and Physical Sciences, National Technical University of Athens, 15780 Athens, Greece)

Abstract

Choosing funds is a general issue for investors, with the aim of balancing potential risks and returns. The aim of this article is to use a super-efficiency approach to analyze and rank exchange-traded funds (ETFs) in order to find the best utility ETFs. The range-adjusted measure (RAM)-based data envelopment analysis (DEA) model is used in this work to evaluate a set of utility ETFs and rank inefficient funds, while the super-efficiency RAM model is used to fully rank RAM-based efficient funds. Other slack-based selected DEA models are also used to analyze the ETFs. The results show that the suggested approach delivers the same efficient funds as other slack-based selected DEA models; hence, it appears to be useful as a fund selection tool.

Suggested Citation

  • Ioannis E. Tsolas, 2022. "Performance Evaluation of Utility Exchange-Traded Funds: A Super-Efficiency Approach," JRFM, MDPI, vol. 15(7), pages 1-10, July.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:7:p:318-:d:868482
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    References listed on IDEAS

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    5. Jordan Bowes & Marcel Ausloos, 2021. "Financial Risk and Better Returns through Smart Beta Exchange-Traded Funds?," JRFM, MDPI, vol. 14(7), pages 1-30, June.
    6. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.
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    Cited by:

    1. Valadkhani, Abbas & Moradi-Motlagh, Amir, 2023. "An empirical analysis of exchange-traded funds in the US," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 995-1009.

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