IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v70y2020ics1057521920301393.html
   My bibliography  Save this article

Information-based trading and information propagation: Evidence from the exchange traded fund market

Author

Listed:
  • Xu, Liao
  • Xu, Lu
  • Zhao, Jing
  • Zhao, Yang

Abstract

This paper studies the information-based trading of exchange-traded funds (ETFs) and the information propagation from the ETF market to its index. We find that the ETF trading triggered by asymmetric information and belief heterogeneity not only accelerates the ETFs' price discovery process but also increases the flow of information to the tracked index. Moreover, the price efficiency of the index also improves along with these two types of trading and their efficiency effects can be further enhanced by a speedier ETFs' price discovery. These observations portray the mechanism of the inter-market information propagation.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:finana:v:70:y:2020:i:c:s1057521920301393
    DOI: 10.1016/j.irfa.2020.101495
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521920301393
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.irfa.2020.101495?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    4. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    5. 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.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Xiangkang Yin & Jing Zhao, 2015. "A Hidden Markov Model Approach to Information‐Based Trading: Theory and Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1210-1234, November.
    12. 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.
    13. 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.
    14. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    15. 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.
    16. 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.
    17. Asani Sarkar & Robert A. Schwartz, 2009. "Market Sidedness: Insights into Motives for Trade Initiation," Journal of Finance, American Finance Association, vol. 64(1), pages 375-423, February.
    18. Comerton-Forde, Carole & Putniņš, Tālis J., 2015. "Dark trading and price discovery," Journal of Financial Economics, Elsevier, vol. 118(1), pages 70-92.
    19. 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.
    20. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    21. 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.
    22. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    23. 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.
    24. 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.
    25. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    26. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    27. Nivine Richie & Robert T. Daigler & Kimberly C. Gleason, 2008. "The limits to stock index arbitrage: Examining S&P 500 futures and SPDRS," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(12), pages 1182-1205, December.
    28. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "ETF arbitrage: Intraday evidence," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3486-3498.
    29. 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.
    30. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    31. 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.
    32. 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.
    33. 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.
    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, November.
    35. 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.
    Full references (including those not matched with items on IDEAS)

    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 & Xue, Mingqi & Zhang, Xuan & Zhao, Yang, 2023. "Heterogeneously informed trading and the stock market efficiency during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. Xu, Liao & Pu, Wenyan, 2022. "ETFs, arbitrage activity, and stock market efficiency: Evidence from Chinese CSI 300 ETFs," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 1-9.
    8. Chen, Wei-Peng & Chung, Huimin & Lien, Donald, 2016. "Price discovery in the S&P 500 index derivatives markets," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 438-452.
    9. Shrestha, Keshab & Philip, Sheena & Peranginangin, Yessy, 2020. "Contributions of Crude Oil Exchange Traded Funds in Price Discovery Process," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 393-407, November.
    10. Ibikunle, Gbenga & Aquilina, Matteo & Diaz-Rainey, Ivan & Sun, Yuxin, 2021. "City goes dark: Dark trading and adverse selection in aggregate markets," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 1-22.
    11. Zhang, Chris H. & Kalev, Petko S., 2021. "How noise trading affects informational efficiency: Evidence from an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    12. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    13. Damien Wallace & Petko S. Kalev & Guanhua Lian, 2019. "The evolution of price discovery in us equity and derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1122-1136, September.
    14. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Choy, Siu Kai & Wei, Jason, 2012. "Option trading: Information or differences of opinion?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2299-2322.
    16. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    17. Hou, Yang & Li, Steven, 2017. "Time-Varying Price Discovery and Autoregressive Loading Factors: Evidence from S&P 500 Cash and E-Mini Futures Markets," MPRA Paper 81999, University Library of Munich, Germany.
    18. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015, January-A.
    19. 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.
    20. Albuquerque, Rui & Song, Shiyun & Yao, Chen, 2017. "The Price Effects of Liquidity Shocks: A Study of SEC’s Tick-Size Experiment," CEPR Discussion Papers 12486, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Disagreement among investors; Exchange-traded funds; Information asymmetry; Market efficiency; Price discovery;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:finana:v:70:y:2020:i:c:s1057521920301393. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    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.