IDEAS home Printed from https://ideas.repec.org/a/bla/finmgt/v51y2022i4p1165-1200.html
   My bibliography  Save this article

Are the flows of exchange‐traded funds informative?

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/fima.12396
    Download Restriction: no

    File URL: https://libkey.io/10.1111/fima.12396?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Jilong & Xu, Liao, 2023. "Do exchange-traded fund activities destabilize the stock market? Evidence from the China securities index 300 stocks," Economic Modelling, Elsevier, vol. 127(C).
    2. Yamani, Ehab, 2023. "The informational role of fund flow in the profitable predictability of mutual funds," Finance Research Letters, Elsevier, vol. 51(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Liao & Yin, Xiangkang & Zhao, Jing, 2019. "The sidedness and informativeness of ETF trading and the market efficiency of their underlying indexes," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    2. Xu, Liao & Xu, Lu & Zhao, Jing & Zhao, Yang, 2020. "Information-based trading and information propagation: Evidence from the exchange traded fund market," International Review of Financial Analysis, Elsevier, vol. 70(C).
    3. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.
    4. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
    5. Davis, Frederick & Khadivar, Hamed & Walker, Thomas J., 2021. "Institutional trading in firms rumored to be takeover targets," Journal of Corporate Finance, Elsevier, vol. 66(C).
    6. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    7. Yuewen Xiao & Xiangkang Yin & Jing Zhao, 2020. "Jumps, News, And Subsequent Return Dynamics: An Intraday Study," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(3), pages 705-731, August.
    8. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    9. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    10. Nguyet Nguyen, 2022. "Informed Trading in Dark Pools: Fair-Access Dark Venue vs. Restricted-Access Dark Venues," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-37, June.
    11. Lin, Hai & Lo, Ingrid & Qiao, Rui, 2021. "Macroeconomic news announcements and market efficiency: Evidence from the U.S. Treasury market," Journal of Banking & Finance, Elsevier, vol. 133(C).
    12. Xu, Liao & Zhang, Xuan & Zhao, Jing, 2023. "Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic," Journal of Financial Markets, Elsevier, vol. 62(C).
    13. Craig W. Holden & Stacey Jacobsen & Avanidhar Subrahmanyam, 2014. "The Empirical Analysis of Liquidity," Foundations and Trends(R) in Finance, now publishers, vol. 8(4), pages 263-365, December.
    14. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2021. "Price Revelation from Insider Trading: Evidence from Hacked Earnings News," SocArXiv qe6tu, Center for Open Science.
    15. Hatheway, Frank & Kwan, Amy & Zheng, Hui, 2017. "An Empirical Analysis of Market Segmentation on U.S. Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2399-2427, December.
    16. Agudelo, Diego A. & Byder, James & Yepes-Henao, Paula, 2019. "Performance and informed trading. Comparing foreigners, institutions and individuals in an emerging stock market," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 187-203.
    17. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    18. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    19. Zhang, Chris H. & Frijns, Bart, 2019. "Noise trading and informational efficiency," EconStor Preprints 198037, ZBW - Leibniz Information Centre for Economics.
    20. Joey W. Yang & Lewis May & John Gould, 2023. "Exchange‐traded fund ownership and underlying stock mispricing," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1417-1445, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:finmgt:v:51:y:2022:i:4:p:1165-1200. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/fmaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.