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Do ETF flows increase market efficiency? Evidence from China

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  • Jilong Chen
  • Liao Xu
  • Yang Zhao

Abstract

Focusing on the equity exchange traded funds (ETFs) in China, we demonstrate the significant effect of ETF flows on the informativeness of the ETF index. Following the novel approach proposed by Xu et al (2019a). to identify different driving forces for ETF flows, we explore whether the forward‐looking ETF flows at a day’s closing substantially improve the index’s efficiency on the next day. The mechanism behind it is inter‐market information spread: the efficiency effect of the forward‐looking ETF flows strengthens when ETFs share more new information; and the forward‐looking ETF flows increase the information flow to the ETF index on the next day.

Suggested Citation

  • Jilong Chen & Liao Xu & Yang Zhao, 2020. "Do ETF flows increase market efficiency? Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(5), pages 4795-4819, December.
  • Handle: RePEc:bla:acctfi:v:60:y:2020:i:5:p:4795-4819
    DOI: 10.1111/acfi.12667
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    1. Itzhak Ben-David & Francesco A. Franzoni & Rabih Moussawi, 2016. "Exchange Traded Funds (ETFs)," Swiss Finance Institute Research Paper Series 16-64, Swiss Finance Institute.
    2. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    3. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    4. Hua, Renhai & Liu, Qingfu & Tse, Yiuman, 2016. "Extended trading in Chinese index markets: Informed or uninformed?," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 112-122.
    5. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    6. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    7. Choonsik Lee & Kee H. Chung & Sean Yang, 2016. "Corporate Governance and the Informational Efficiency of Prices," Financial Management, Financial Management Association International, vol. 45(1), pages 239-260, March.
    8. 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.
    9. 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.
    10. Michael D. McKenzie & Robert W. Faff, 2003. "The Determinants of Conditional Autocorrelation in Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(2), pages 259-274, June.
    11. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    12. Xu, Liao & Yin, Xiangkang, 2017. "Does ETF trading affect the efficiency of the underlying index?," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 82-101.
    13. Terrence Hendershott & Charles M. Jones, 2005. "Island Goes Dark: Transparency, Fragmentation, and Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 743-793.
    14. Hua Wang & Liao Xu, 2019. "Do exchange‐traded fund flows increase the volatility of the underlying index? Evidence from the emerging market in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1525-1548, March.
    15. Comerton-Forde, Carole & Putniņš, Tālis J., 2015. "Dark trading and price discovery," Journal of Financial Economics, Elsevier, vol. 118(1), pages 70-92.
    16. Hasbrouck, Joel, 2002. "Stalking the "efficient price" in market microstructure specifications: an overview," Journal of Financial Markets, Elsevier, vol. 5(3), pages 329-339, July.
    17. Markus S. Broman & Pauline Shum, 2018. "Relative Liquidity, Fund Flows and Short†Term Demand: Evidence from Exchange†Traded Funds," The Financial Review, Eastern Finance Association, vol. 53(1), pages 87-115, February.
    18. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    19. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    20. Fischer Black, 1988. "An Equilibrium Model of the Crash," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 269-276, National Bureau of Economic Research, Inc.
    21. Malamud, Semyon, 2016. "A Dynamic Equilibrium Model of ETFs," CEPR Discussion Papers 11469, C.E.P.R. Discussion Papers.
    22. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    23. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    24. Xinyun Chen & Yan Liu & Tao Zeng, 2017. "Does the T + 1 rule really reduce speculation? Evidence from Chinese Stock Index ETF," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1287-1313, December.
    25. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
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    2. Valadkhani, Abbas, 2022. "Do large-cap exchange-traded funds perform better than their small-cap counterparts in extreme market conditions?☆," Global Finance Journal, Elsevier, vol. 53(C).

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