IDEAS home Printed from https://ideas.repec.org/a/mfa/journl/v30y2022i2p39-61.html
   My bibliography  Save this article

Actively Managed ETFs: A Performance Evaluation

Author

Listed:
  • Gerasimos Georgiou Rompotis

    (Department of Economics, National and Kapodistrian University of Athens, Greece.)

Abstract

Research Question: The current study examines whether actively managed Exchange Traded Funds (ETFs) in the United States can beat the market. The market timing skills of ETF managers are evaluated too. Motivation: This study has been motivated by the recent increased interest of investors in actively managed ETFs. This interest has been answered by the creators of active ETFs via the launch of several of such products over the last couple of years. As a result, significant money has flown into active ETFs during the last two years, and especially in 2021. Idea: In other words, by examining the latest return data of active ETFs, we try to confirm whether the recent growth in the active ETF market has been driven by material performance records of these funds. Data: The performance of 50 U.S. equity actively managed ETFs is examined over the period 1/1/2018 - 31/12/2021. Method/Tools: Standard methodology including single-factor market model and the Fama-French-Carhart four- and six-factor models is used. Findings: The findings are in line with previous evidence in the literature. Active ETFs fail to achieve any material above market return. In addition, it is shown that the Fama-French-Carhart factors are material in explaining the performance of the examined ETFs. Finally, the managers of active ETFs do not seem to possess any superior market timing skills. Contributions: When it comes to the contribution of this study, we note that we use the most recent data than any other known study in the literature. Moreover, based on methodology found in the literature on traditional mutual funds, we consider several factors in assessing the performance of active ETFs than just the market index, which is frequently the case in similar studies. Finally, market timing skills are assessed via an enhanced set of regression models. All the above enhance our knowledge about the failure of active ETFs to beat the market and to compete their passive peers.

Suggested Citation

  • Gerasimos Georgiou Rompotis, 2022. "Actively Managed ETFs: A Performance Evaluation," Capital Markets Review, Malaysian Finance Association, vol. 30(2), pages 39-61.
  • Handle: RePEc:mfa:journl:v:30:y:2022:i:2:p:39-61
    as

    Download full text from publisher

    File URL: https://www.mfa.com.my/wp-content/uploads/2022/10/v30_i2_a3_pg39-61.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    2. Gerasimos G. Rompotis, 2020. "Actively versus passively managed equity ETFs: new empirical insights," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 11(1), pages 95-135.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Jagannathan, Ravi & Korajczyk, Robert A, 1986. "Assessing the Market Timing Performance of Managed Portfolios," The Journal of Business, University of Chicago Press, vol. 59(2), pages 217-235, April.
    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. Jitmaneeroj, Boonlert, 2023. "Time-varying fund manager skills of socially responsible investing (SRI) funds in developed and emerging markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Dumitrescu, Ariadna & Järvinen, Jesse & Zakriya, Mohammed, 2023. "Hidden Gem or Fool’s Gold: Can passive ESG ETFs outperform the benchmarks?," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    5. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    6. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    7. Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).
    8. Ding, Jing & Jiang, Lei & Liu, Xiaohui & Peng, Liang, 2023. "Nonparametric tests for market timing ability using daily mutual fund returns," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    9. Francesco Busato & Cuono Massimo Coletta & Maria Manganiello, 2019. "Estimating the Cost of Equity Capital: Forecasting Accuracy for U.S. REIT Sector," International Real Estate Review, Asian Real Estate Society, vol. 22(3), pages 401-432.
    10. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
    11. Ciciretti, Rocco & Dalò, Ambrogio & Dam, Lammertjan, 2023. "The contributions of betas versus characteristics to the ESG premium," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 104-124.
    12. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa O., 2019. "Upside potential of hedge funds as a predictor of future performance," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 212-229.
    13. Jeong, Giho & Kang, Jangkoo & Kwon, Kyung Yoon, 2018. "Liquidity skewness premium," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 130-150.
    14. Kee-Hong Bae & Junesuh Yi, 2008. "The Impact of the Short-Short Rule Repeal on the Timing Ability of Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 969-997.
    15. Liu, Siqi & Yin, Chao & Zeng, Yeqin, 2021. "Abnormal investment and firm performance," International Review of Financial Analysis, Elsevier, vol. 78(C).
    16. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    17. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2020. "Firm profitability and expected stock returns: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 51(C).
    18. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    19. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    20. S. Pavithra & Parthajit Kayal, 2023. "A Study of Investment Style Timing of Mutual Funds in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 49-72, March.

    More about this item

    Keywords

    ETFs; active management; performance; market timing.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    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:mfa:journl:v:30:y:2022:i:2:p:39-61. 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: Capital Market Review (email available below). General contact details of provider: .

    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.