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Predictable patterns in ETFs' return and tracking error

Author

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  • Gerasimos G. Rompotis

Abstract

Purpose - The purpose of this paper is to assess whether exchange‐traded funds (ETFs) can beat the market, as it is expressed by the Standard and Poor (S&P) 500 Index, examine the outperformance persistence, calculate tracking error, assess the tracking error persistence, investigate the factors that induce tracking error and assess whether there are predictable patterns in ETFs' performance. Design/methodology/approach - The author uses a sample of 50 iShares during the period 2002‐2007 and calculates the simple raw return, the Sharpe ratio and the Sortino ratio, regresses the performance differences between ETFs and market index, calculates tracking error as the standard deviation in return differences between ETFs and benchmarks, assesses tracking error's persistence in the same fashion used to assess the ETFs' outperformance persistence, examines the impact of expenses, risk and age on tracking error and applies dummy regression analysis to study whether the performance of ETFs is predictable. Findings - The results reveal that the majority of the selected iShares beat the S&P 500 Index, both at the annual and the aggregate levels while the return superiority of ETFs strongly persists at the short‐term level. The tracking error of ETFs also persists at the short‐term level. The regression analysis on tracking error reveals that the expenses charged by ETFs along with the age and risk of ETFs are some of the factors that can explain the persistence in tracking error. Finally, the dummy regression analysis indicates that the performance of ETFs can be somehow predictable. Originality/value - The findings of this paper may be of help to investors seeking investment choices that will help them to gain above market returns. In addition, tracking error‐concerned investors will be helped by the findings of the paper. Finally, the findings on return predictability can also be helpful to investors.

Suggested Citation

  • Gerasimos G. Rompotis, 2011. "Predictable patterns in ETFs' return and tracking error," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(1), pages 14-35, March.
    • Handle: RePEc:eme:sefpps:v:28:y:2011:i:1:p:14-35
    DOI: 10.1108/10867371111110534
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    References listed on IDEAS

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    1. Brown, Stephen J & Goetzmann, William N, 1995. "Performance Persistence," Journal of Finance, American Finance Association, vol. 50(2), pages 679-698, June.
    2. Blake, Christopher R. & Morey, Matthew R., 2000. "Morningstar Ratings and Mutual Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 451-483, September.
    3. Edwin J. Elton, 2002. "Spiders: Where Are the Bugs?," The Journal of Business, University of Chicago Press, vol. 75(3), pages 453-472, July.
    4. Elton, Edwin J & Gruber, Martin J & Blake, Christopher R, 1996. "The Persistence of Risk-Adjusted Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 69(2), pages 133-157, April.
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    2. Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2014. "Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias," Journal of Financial Markets, Elsevier, vol. 19(C), pages 86-109.
    3. Huyen Phuong Do & Bich Ngoc Do & Tra My Nguyen & Thinh Vu Duy, 2021. "Arbitrage with Exchange-traded Funds: A Case of E1VFVN30 Based on Intraday Data," Economic Research Guardian, Weissberg Publishing, vol. 11(1), pages 130-143, June.
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    6. La Monaca, Sarah & Assereto, Martina & Byrne, Julie, 2018. "Clean energy investing in public capital markets: Portfolio benefits of yieldcos," Energy Policy, Elsevier, vol. 121(C), pages 383-393.

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