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Are the flows of exchange‐traded funds informative?

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  • Liao Xu
  • Xiangkang Yin
  • Jing Zhao

Abstract

This paper provides novel evidence of information asymmetry in exchange‐traded fund (ETF) markets. By decomposing daily ETF flows, we find that the unexpected flow component, orthogonal to the components driven by market making and arbitraging, wields substantial power in predicting next day's ETF returns. Informed traders are able to exploit their information advantage to realize an annualized open‐to‐close return of 19.16% or close‐to‐close return of 22.42%. The informativeness of the unexpected ETF component is further confirmed by its strong power of predicting next day's macroeconomic and ETF‐related news, while the market‐making‐ and arbitraging‐driven components are not closely related to forthcoming news.

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  • Liao Xu & Xiangkang Yin & Jing Zhao, 2022. "Are the flows of exchange‐traded funds informative?," Financial Management, Financial Management Association International, vol. 51(4), pages 1165-1200, December.
  • Handle: RePEc:bla:finmgt:v:51:y:2022:i:4:p:1165-1200
    DOI: 10.1111/fima.12396
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    as
    1. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    2. Antonio Gargano & Alberto G. Rossi & Russ Wermers, 2017. "The Freedom of Information Act and the Race Toward Information Acquisition," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 2179-2228.
    3. Rui Albuquerque & Eva De Francisco & Luis B. Marques, 2008. "Marketwide Private Information in Stocks: Forecasting Currency Returns," Journal of Finance, American Finance Association, vol. 63(5), pages 2297-2343, October.
    4. Xuemin (Sterling) Yan & Zhe Zhang, 2009. "Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 893-924, February.
    5. Kurov, Alexander & Sancetta, Alessio & Strasser, Georg & Wolfe, Marketa Halova, 2019. "Price Drift Before U.S. Macroeconomic News: Private Information about Public Announcements?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 449-479, February.
    6. Akbas, Ferhat & Armstrong, Will J. & Sorescu, Sorin & Subrahmanyam, Avanidhar, 2015. "Smart money, dumb money, and capital market anomalies," Journal of Financial Economics, Elsevier, vol. 118(2), pages 355-382.
    7. 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.
    8. Massa, Massimo & Qian, Wenlan & Xu, Weibiao & Zhang, Hong, 2015. "Competition of the informed: Does the presence of short sellers affect insider selling?," Journal of Financial Economics, Elsevier, vol. 118(2), pages 268-288.
    9. Robert M. Bushman & Christopher D. Williams & Regina Wittenberg‐Moerman, 2017. "The Informational Role of the Media in Private Lending," Journal of Accounting Research, Wiley Blackwell, vol. 55(1), pages 115-152, March.
    10. Dang, Tung Lam & Moshirian, Fariborz & Zhang, Bohui, 2015. "Commonality in news around the world," Journal of Financial Economics, Elsevier, vol. 116(1), pages 82-110.
    11. Comerton-Forde, Carole & Jones, Charles M. & Putniņš, Tālis J., 2016. "Shorting at close range: A tale of two types," Journal of Financial Economics, Elsevier, vol. 121(3), pages 546-568.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    13. Madhavan, Ananth N., 2016. "Exchange-Traded Funds and the New Dynamics of Investing," OUP Catalogue, Oxford University Press, number 9780190279394.
    14. Itzhak Ben-David & Francesco A. Franzoni & Rabih Moussawi, 2016. "Exchange Traded Funds (ETFs)," Swiss Finance Institute Research Paper Series 16-64, Swiss Finance Institute.
    15. Baker, Malcolm & Litov, Lubomir & Wachter, Jessica A. & Wurgler, Jeffrey, 2010. "Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1111-1131, October.
    16. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    17. Balduzzi, Pierluigi & Moneta, Fabio, 2017. "Economic Risk Premia in the Fixed-Income Markets: The Intraday Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(5), pages 1927-1950, October.
    18. John M. Griffin & Tao Shu & Selim Topaloglu, 2012. "Examining the Dark Side of Financial Markets: Do Institutions Trade on Information from Investment Bank Connections?," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2155-2188.
    19. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    20. Alex Boulatov & Terrence Hendershott & Dmitry Livdan, 2013. "Informed Trading and Portfolio Returns," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 35-72.
    21. Hendershott, Terrence & Livdan, Dmitry & Schürhoff, Norman, 2015. "Are institutions informed about news?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 249-287.
    22. Hu, Grace Xing & Pan, Jun & Wang, Jiang, 2017. "Early peek advantage? Efficient price discovery with tiered information disclosure," Journal of Financial Economics, Elsevier, vol. 126(2), pages 399-421.
    23. Dominik M. Rösch & Avanidhar Subrahmanyam & Mathijs A. van Dijk, 2017. "The Dynamics of Market Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1151-1187.
    24. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    25. Yiuman Tse & Paramita Bandyopadhyay & Yang‐Pin Shen, 2006. "Intraday Price Discovery in the DJIA Index Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1572-1585, November.
    26. Andy Puckett & Xuemin (Sterling) Yan, 2011. "The Interim Trading Skills of Institutional Investors," Journal of Finance, American Finance Association, vol. 66(2), pages 601-633, April.
    27. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    28. 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.
    29. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    30. Edelen, Roger M. & Ince, Ozgur S. & Kadlec, Gregory B., 2016. "Institutional investors and stock return anomalies," Journal of Financial Economics, Elsevier, vol. 119(3), pages 472-488.
    31. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    32. 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.
    33. 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.
    34. Yiuman Tse & Paramita Bandyopadhyay & Yang-Pin Shen, 2006. "Intraday Price Discovery in the DJIA Index Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9-10), pages 1572-1585.
    35. Chunmei Lin & Massimo Massa & Hong Zhang, 2014. "Mutual Funds and Information Diffusion: The Role of Country-Level Governance," Tinbergen Institute Discussion Papers 14-079/IV/DSF76, Tinbergen Institute.
    36. Eric K. Kelley & Paul C. Tetlock, 2017. "Retail Short Selling and Stock Prices," The Review of Financial Studies, Society for Financial Studies, vol. 30(3), pages 801-834.
    37. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    38. Chakrabarty, Bidisha & Pascual, Roberto & Shkilko, Andriy, 2015. "Evaluating trade classification algorithms: Bulk volume classification versus the tick rule and the Lee-Ready algorithm," Journal of Financial Markets, Elsevier, vol. 25(C), pages 52-79.
    39. Mohammadreza Bolandnazar & Robert J. Jackson & Wei Jiang & Joshua Mitts, 2020. "Trading Against the Random Expiration of Private Information: A Natural Experiment," Journal of Finance, American Finance Association, vol. 75(1), pages 5-44, February.
    40. Anna Cieslak & Adair Morse & Annette Vissing‐Jorgensen, 2019. "Stock Returns over the FOMC Cycle," Journal of Finance, American Finance Association, vol. 74(5), pages 2201-2248, October.
    41. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    42. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    43. Akbas, Ferhat & Armstrong, Will J. & Sorescu, Sorin & Subrahmanyam, Avanidhar, 2016. "Capital Market Efficiency and Arbitrage Efficacy," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(2), pages 387-413, April.
    44. Henry, Tyler R. & Kisgen, Darren J. & Wu, Juan (Julie), 2015. "Equity short selling and bond rating downgrades," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 89-111.
    45. Chunmei Lin & Massimo Massa & Hong Zhang, 2014. "Mutual Funds and Information Diffusion: The Role of Country-Level Governance," The Review of Financial Studies, Society for Financial Studies, vol. 27(11), pages 3343-3387.
    46. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    47. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    48. Massoud, Nadia & Nandy, Debarshi & Saunders, Anthony & Song, Keke, 2011. "Do hedge funds trade on private information? Evidence from syndicated lending and short-selling," Journal of Financial Economics, Elsevier, vol. 99(3), pages 477-499, March.
    49. Bernile, Gennaro & Hu, Jianfeng & Tang, Yuehua, 2016. "Can information be locked up? Informed trading ahead of macro-news announcements," Journal of Financial Economics, Elsevier, vol. 121(3), pages 496-520.
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