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The volatility-liquidity dynamics of single-stock ETFs

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Listed:
  • Zhao, Le
  • Nguyen, Vinh Huy
  • Li, Chen

Abstract

Single-stock exchange-traded fund (SSETF) is the latest innovation in the ETF arrays of products. We examine the dynamics of the volatility-liquidity relationship between these SSETFs and their underlying stocks. We find that SSETFs have higher volatility and lower liquidity than the underlying stocks. During periods of higher stock volatility, the liquidity of SSETFs is significantly reduced. We also find evidence that SSETF traders can mitigate the liquidity problem by using intermarket sweep orders and routing orders to lit exchanges.

Suggested Citation

  • Zhao, Le & Nguyen, Vinh Huy & Li, Chen, 2024. "The volatility-liquidity dynamics of single-stock ETFs," Finance Research Letters, Elsevier, vol. 69(PB).
  • Handle: RePEc:eee:finlet:v:69:y:2024:i:pb:s1544612324011929
    DOI: 10.1016/j.frl.2024.106163
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    1. Harris, Lawrence & Sofianos, George & Shapiro, James E, 1994. "Program Trading and Intraday Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 653-685.
    2. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, February.
    3. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    4. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    5. Brooks, Raymond M, 1994. "Bid-Ask Spread Components around Anticipated Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(3), pages 375-386, Fall.
    6. Anselmi, Giulio & Nimalendran, Mahendrarajah & Petrella, Giovanni, 2022. "Order flow fragmentation and flight-to-transparency during stressed market conditions: Evidence from COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    7. Ye, Linlin, 2024. "Understanding the impacts of dark pools on price discovery," Journal of Financial Markets, Elsevier, vol. 68(C).
    8. Chan, Kalok & Chan, K C & Karolyi, G Andrew, 1991. "Intraday Volatility in the Stock Index and Stock Index Futures Markets," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 657-684.
    9. Chakravarty, Sugato & Jain, Pankaj & Upson, James & Wood, Robert, 2012. "Clean Sweep: Informed Trading through Intermarket Sweep Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 415-435, April.
    10. Paolo Guasoni & Eberhard Mayerhofer, 2023. "Leveraged funds: robust replication and performance evaluation," Quantitative Finance, Taylor & Francis Journals, vol. 23(7-8), pages 1155-1176, August.
    11. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    12. Raymond M. Brooks, 1994. "Bid-Ask Spread Components Around Anticipated Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(3), pages 375-386, September.
    13. Menkveld, Albert J. & Yueshen, Bart Zhou & Zhu, Haoxiang, 2017. "Shades of darkness: A pecking order of trading venues," Journal of Financial Economics, Elsevier, vol. 124(3), pages 503-534.
    14. Krinsky, Itzhak & Lee, Jason, 1996. "Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    15. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    16. Harris, Terry, 2017. "Earnings announcements and quoted bid-ask spreads of U.S. Bank Holding Companies," Finance Research Letters, Elsevier, vol. 20(C), pages 223-228.
    17. Crego, Julio A., 2020. "Why does public news augment information asymmetries?," Journal of Financial Economics, Elsevier, vol. 137(1), pages 72-89.
    18. Charupat, Narat & Miu, Peter, 2011. "The pricing and performance of leveraged exchange-traded funds," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 966-977, April.
    19. I. Krinsky & J. Lee, 1996. "Earning Announcements and the Components of the Bid-Ask Aspread," Quantitative Studies in Economics and Population Research Reports 313, McMaster University.
    20. Kalev, Petko S. & Liu, Wai-Man & Pham, Peter K. & Jarnecic, Elvis, 2004. "Public information arrival and volatility of intraday stock returns," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1441-1467, June.
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    Cited by:

    1. Zong Ke & Jingyu Xu & Zizhou Zhang & Yu Cheng & Wenjun Wu, 2024. "A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm," Papers 2412.07223, arXiv.org, revised Feb 2025.

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    More about this item

    Keywords

    Exchange-traded funds; Volatility; Liquidity; Intermarket sweep orders; Lit exchanges;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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