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Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique

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  • Fabrice Riva

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Thomas Marta

Abstract

We investigate the impact of Exchange-Traded Funds (ETFs) on the comovements of their constituent securities using a novel identification which exploits the switch from synthetic to physical replication of a large French ETF. After the switch, constituent stocks experience greater commonality, in both returns and liquidity. For both the full sample of ETF constituents and the least liquid ETF constituents, a larger part of the variation in individual stock returns or liquidity is explained by market-wide variations. We present evidence that ETF arbitrage is the transmission mechanism of the comovements. Moreover, we show that the comovements do not appear excessive.

Suggested Citation

  • Fabrice Riva & Thomas Marta, 2022. "Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique," Post-Print hal-03969597, HAL.
  • Handle: RePEc:hal:journl:hal-03969597
    Note: View the original document on HAL open archive server: https://hal.science/hal-03969597
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    1. Greenwood, Robin & Thesmar, David, 2011. "Stock price fragility," Journal of Financial Economics, Elsevier, vol. 102(3), pages 471-490.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Semyon MALAMUD, 2015. "A Dynamic Equilibrium Model of ETFs," Swiss Finance Institute Research Paper Series 15-37, Swiss Finance Institute.
    4. Korajczyk, Robert A. & Sadka, Ronnie, 2008. "Pricing the commonality across alternative measures of liquidity," Journal of Financial Economics, Elsevier, vol. 87(1), pages 45-72, January.
    5. Giovanni Cespa & Thierry Foucault, 2014. "Illiquidity Contagion and Liquidity Crashes," The Review of Financial Studies, Society for Financial Studies, vol. 27(6), pages 1615-1660.
    6. Miguel Antón & Christopher Polk, 2014. "Connected Stocks," Journal of Finance, American Finance Association, vol. 69(3), pages 1099-1127, June.
    7. Harford, Jarrad & Kaul, Aditya, 2005. "Correlated Order Flow: Pervasiveness, Sources, and Pricing Effects," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(1), pages 29-55, March.
    8. Dannhauser, Caitlin D., 2017. "The impact of innovation: Evidence from corporate bond exchange-traded funds (ETFs)," Journal of Financial Economics, Elsevier, vol. 125(3), pages 537-560.
    9. Madhavan, Ananth N., 2016. "Exchange-Traded Funds and the New Dynamics of Investing," OUP Catalogue, Oxford University Press, number 9780190279394.
    10. Itzhak Ben-David & Francesco A. Franzoni & Rabih Moussawi, 2016. "Exchange Traded Funds (ETFs)," Swiss Finance Institute Research Paper Series 16-64, Swiss Finance Institute.
    11. Andrade, Sandro C. & Chang, Charles & Seasholes, Mark S., 2008. "Trading imbalances, predictable reversals, and cross-stock price pressure," Journal of Financial Economics, Elsevier, vol. 88(2), pages 406-423, May.
    12. Andrew Koch & Stefan Ruenzi & Laura Starks, 2016. "Editor's Choice Commonality in Liquidity: A Demand-Side Explanation," The Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 1943-1974.
    13. Malceniece, Laura & Malcenieks, Kārlis & Putniņš, Tālis J., 2019. "High frequency trading and comovement in financial markets," Journal of Financial Economics, Elsevier, vol. 134(2), pages 381-399.
    14. Doron Israeli & Charles M. C. Lee & Suhas A. Sridharan, 2017. "Is there a dark side to exchange traded funds? An information perspective," Review of Accounting Studies, Springer, vol. 22(3), pages 1048-1083, September.
    15. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    16. Zhi Da & Sophie Shive, 2018. "Exchange traded funds and asset return correlations," European Financial Management, European Financial Management Association, vol. 24(1), pages 136-168, January.
    17. Lawrence Glosten & Suresh Nallareddy & Yuan Zou, 2021. "ETF Activity and Informational Efficiency of Underlying Securities," Management Science, INFORMS, vol. 67(1), pages 22-47, January.
    18. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    19. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    20. Karolyi, G. Andrew & Lee, Kuan-Hui & van Dijk, Mathijs A., 2012. "Understanding commonality in liquidity around the world," Journal of Financial Economics, Elsevier, vol. 105(1), pages 82-112.
    21. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    22. Hurlin, Christophe & Iseli, Grégoire & Pérignon, Christophe & Yeung, Stanley, 2019. "The counterparty risk exposure of ETF investors," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 215-230.
    23. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    24. Hasbrouck, Joel & Seppi, Duane J., 2001. "Common factors in prices, order flows, and liquidity," Journal of Financial Economics, Elsevier, vol. 59(3), pages 383-411, March.
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    1. Peter B. Lerner, 2023. "A New Entropic Measure for the Causality of the Financial Time Series," JRFM, MDPI, vol. 16(7), pages 1-17, July.

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    Keywords

    ETFs; Commonality;

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