IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i2p130-d1070461.html
   My bibliography  Save this article

Performance of US and European Exchange Traded Funds: A Base Point-Slack-Based Measure Approach

Author

Listed:
  • Carla O. Henriques

    (Polytechnic Institute of Coimbra, Coimbra Business School|ISCAC, Bencanta, 3040-316 Coimbra, Portugal
    INESCC, Departamento de Engenharia Electrotécnica e de Computadores, University of Coimbra, Polo 2, 3030-290 Coimbra, Portugal
    CeBER, Faculty of Economics, University of Coimbra, Av Dias da Silva 165, 3004-512 Coimbra, Portugal)

  • Maria E. Neves

    (Polytechnic Institute of Coimbra, Coimbra Business School|ISCAC, Bencanta, 3040-316 Coimbra, Portugal
    Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal)

  • Jeremias A. Conceição

    (Polytechnic Institute of Coimbra, Coimbra Business School|ISCAC, Bencanta, 3040-316 Coimbra, Portugal)

  • Elisabete S. Vieira

    (GOVCOPP Unit Research, ISCA-UA|University of Aveiro, Campus Universitário, 3810-902 Aveiro, Portugal)

Abstract

This study evaluates the performance of United States (US) and European Exchange Traded Funds (ETFs) using the non-oriented version of the base point-slack-based measure (BP-SBM) Data Envelopment Analysis (DEA) model, which allows for handling negative data that can arise in some of the metrics traditionally used in this type of analysis. Our findings show that US efficient ETFs are considered benchmarks more often than European efficient ETFs. Nonetheless, it was possible to conclude that European inefficient ETFs were generally less inefficient than US ETFs. Our findings also show that ETFs’ efficiency (particularly for US ETFs) in the short run is more related to risk than to profitability factors. This implies that as the time horizon lengthens, the importance of profitability factors for the ETFs’ financial performance grows.

Suggested Citation

  • Carla O. Henriques & Maria E. Neves & Jeremias A. Conceição & Elisabete S. Vieira, 2023. "Performance of US and European Exchange Traded Funds: A Base Point-Slack-Based Measure Approach," JRFM, MDPI, vol. 16(2), pages 1-34, February.
    • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:2:p:130-:d:1070461
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/2/130/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/16/2/130/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Satya Ranjan Acharya & Amit Kumar Dwivedi & Bhumika Darshak Panchal, 2015. "Application of data envelopment analysis on Indian gold ETFs," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 6(2), pages 147-161.
    2. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    3. M C A Silva Portela & E Thanassoulis & G Simpson, 2004. "Negative data in DEA: a directional distance approach applied to bank branches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1111-1121, October.
    4. Roll, Richard, 1978. "Ambiguity when Performance is Measured by the Securities Market Line," Journal of Finance, American Finance Association, vol. 33(4), pages 1051-1069, September.
    5. Admati, Anat R & Ross, Stephen A, 1985. "Measuring Investment Performance in a Rational Expectations Equilibrium Model," The Journal of Business, University of Chicago Press, vol. 58(1), pages 1-26, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wayne E. Ferson & Jerchern Lin, 2013. "Alpha and Performance Measurement: The Effects of Investor Disagreement and Heterogeneity," NBER Working Papers 19349, National Bureau of Economic Research, Inc.
    2. Murthi, B. P. S. & Choi, Yoon K. & Desai, Preyas, 1997. "Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 98(2), pages 408-418, April.
    3. William Goetzmann & Jonathan Ingersoll & Zoran Ivkovich, 1998. "Monthly Measurement of Daily Timers," Yale School of Management Working Papers ysm88, Yale School of Management, revised 01 Oct 2000.
    4. Juan Carlos Matallin & Luisa Nieto, 2002. "Mutual funds as an alternative to direct stock investment: A cointegration approach," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 743-750.
    5. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
    6. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand B. Maillet, 2014. "A Survey On The Four Families Of Performance Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 917-942, December.
    7. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
    8. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    9. Kingsley Fong & David R. Gallagher & Adrian D. Lee, 2008. "Benchmarking benchmarks: measuring characteristic selectivity using portfolio holdings data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(5), pages 761-781, December.
    10. Annaert, Jan & De Ceuster, Marc J. K. & Van Hyfte, Wim, 2005. "The value of asset allocation advice: Evidence from The Economist's quarterly portfolio poll," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 661-680, March.
    11. Dong‐Hyun Ahn & H. Henry Cao & Stéphane Chrétien, 2009. "Portfolio Performance Measurement: a No Arbitrage Bounds Approach," European Financial Management, European Financial Management Association, vol. 15(2), pages 298-339, March.
    12. Wang, Yaping & Paek, Miyoun & Ko, Kwangsoo, 2019. "The performance of Chinese equity funds: An extension of DGTW model," Japan and the World Economy, Elsevier, vol. 51(C), pages 1-1.
    13. Ortas, Eduardo & Moneva, José M. & Salvador, Manuel, 2012. "Does socially responsible investment equity indexes in emerging markets pay off? Evidence from Brazil," Emerging Markets Review, Elsevier, vol. 13(4), pages 581-597.
    14. Jay C. Hartzell & Tobias Mühlhofer & Sheridan D. Titman, 2010. "Alternative Benchmarks for Evaluating Mutual Fund Performance," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(1), pages 121-154, March.
    15. Cujean, Julien, 2020. "Idea sharing and the performance of mutual funds," Journal of Financial Economics, Elsevier, vol. 135(1), pages 88-119.
    16. Farah Naz & Hafsa Khan & Muhammad Ishfaq Ahmad & Ramiz Ur Rehman & Muhammad Akram Naseem, 2019. "Productivity and efficiency analysis of Pakistani mutual funds using Malmquist index approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-21, September.
    17. Christian Walter, 2005. "Performance Concentration [La concentration de la performance]," Post-Print hal-04567931, HAL.
    18. Sebastian Bunnenberg & Martin Rohleder & Hendrik Scholz & Marco Wilkens, 2019. "Jensen's alpha and the market‐timing puzzle," Review of Financial Economics, John Wiley & Sons, vol. 37(2), pages 234-255, April.
    19. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2010. "Mutual Fund Performance: Measurement and Evidence," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 19(2), pages 95-187, May.
    20. Prather, Larry J. & Middleton, Karen L., 2002. "Are N+1 heads better than one?: The case of mutual fund managers," Journal of Economic Behavior & Organization, Elsevier, vol. 47(1), pages 103-120, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:16:y:2023:i:2:p:130-:d:1070461. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.