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How precisely European equity ETFs mirror their flagship benchmarks? Evidence from funds replicating performance of Euro Stoxx 50 Index

Author

Listed:
  • Ewa Feder-Sempach

    (University of Lodz)

  • Tomasz Miziołek

    (University of Lodz)

Abstract

The main goal of the article is to examine the tracking efficiency of a homogenous sample of 14 ETFs listed on European exchanges, replicating the performance of Euro Stoxx 50 Index—a benchmark index for blue chips from the euro area. This study provides some insights into the tracking quality of European ETFs over the long time horizon (2012–2021 period) including data from entire business cycle: both economic prosperity and COVID-19 crisis. The study has been made applying different tracking error calculation techniques and return intervals—daily, weekly and monthly. Passive investing may be a highly desirable, cheap and accurate method for long or short term investments in the largest 50 cap companies in the euro zone. Hence, this unique research may help to succeed in ETF selection process. The study reveals that ETFs are very effectively managed by keeping the TEs below 0.3% (for ETFs with accumulating share classes) and below 1% (for ETFs with distributing share classes). This shows that the ETFs with accumulating share classes perform much better—the average TE for three different methods is 0.11% for accumulating share classes ETFs and 0.33% for distributing share classes ETFs. It proofs, that it is not important whether to use the standard deviation of the difference between the return of an ETF and that of its benchmark index, or the standard error of regression in TE assessment, both methods give very similar results. However, TE calculation method signifies, if the average of the absolute difference between the return of an ETF and that of the index is used. Additionally, it is found that time intervals used in TE calculations matter—the shift from monthly to daily intervals results in reduction of TE levels. Using shorter intervals brings lower TE values of European ETFs.

Suggested Citation

  • Ewa Feder-Sempach & Tomasz Miziołek, 2023. "How precisely European equity ETFs mirror their flagship benchmarks? Evidence from funds replicating performance of Euro Stoxx 50 Index," Journal of Asset Management, Palgrave Macmillan, vol. 24(2), pages 121-135, March.
  • Handle: RePEc:pal:assmgt:v:24:y:2023:i:2:d:10.1057_s41260-022-00287-9
    DOI: 10.1057/s41260-022-00287-9
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    References listed on IDEAS

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    1. Hassine, Marlène & Roncalli, Thierry, 2013. "Measuring Performance of Exchange Traded Funds," MPRA Paper 44298, University Library of Munich, Germany.
    2. James M. Poterba & John B. Shoven, 2002. "Exchange-Traded Funds: A New Investment Option for Taxable Investors," American Economic Review, American Economic Association, vol. 92(2), pages 422-427, May.
    3. Jun Chen & Yi Chen & Bart Frijns, 2017. "Evaluating the tracking performance and tracking error of New Zealand exchange traded funds," Pacific Accounting Review, Emerald Group Publishing Limited, vol. 29(3), pages 443-462, August.
    4. David Easley & David Michayluk & Maureen O’Hara and Tālis & J Putniņš, 2021. "The Active World of Passive Investing [Mutual fund’s R2 as predictor of performance]," Review of Finance, European Finance Association, vol. 25(5), pages 1433-1471.
    5. Shin, Sangheon & Soydemir, Gökçe, 2010. "Exchange-traded funds, persistence in tracking errors and information dissemination," Journal of Multinational Financial Management, Elsevier, vol. 20(4-5), pages 214-234, December.
    6. Baş, Nazlı Kalfa & Sarıoğlu, Serra Eren, 2015. "Tracking Ability and Pricing Efficiency of Exchange Traded Funds: Evidence from Borsa Istanbul," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 6(1), pages 19-33, January.
    7. Gerasimos G Rompotis, 2012. "The German Exchange Traded Funds," The IUP Journal of Applied Finance, IUP Publications, vol. 18(4), pages 62-82, October.
    8. Aftab Parvez Khan & Obiyathulla Ismath Bacha & Abul Mansur Mohammed Masih, 2015. "Performance and Trading Characteristics of Exchange Traded Funds: Developed vs Emerging Markets," Capital Markets Review, Malaysian Finance Association, vol. 23(1&2), pages 40-64.
    9. repec:eme:mfppss:v:38:y:2012:i:9:p:804-832 is not listed on IDEAS
    10. repec:eme:par000:par-10-2016-0089 is not listed on IDEAS
    11. Blitz, David & Huij, Joop, 2012. "Evaluating the performance of global emerging markets equity exchange-traded funds," Emerging Markets Review, Elsevier, vol. 13(2), pages 149-158.
    12. Edwin J. Elton, 2002. "Spiders: Where Are the Bugs?," The Journal of Business, University of Chicago Press, vol. 75(3), pages 453-472, July.
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    More about this item

    Keywords

    Exchange-traded funds (ETFs); Euro Stoxx 50 Index; Tracking efficiency; Tracking error;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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