IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v61y2016icp249-259.html
   My bibliography  Save this article

Analysis of ETF bid-ask spread components

Author

Listed:
  • Ivanov, Stoyu I.

Abstract

In this study we examine on intradaily basis (milliseconds) the largest 100 ETFs’ bid-ask spread components in the period March 21, 2014 to April 17, 2014. We document that ETFs have lower proportion of adverse selection in the bid-ask spread relative to stocks, which also means that the order processing cost component is higher in ETFs. This suggests that uninformed investors prefer to trade ETFs relative to individual stocks. The data in our study also suggests a U-shaped form of the adverse selection component across four categories of ETF trading volume and not a monotone decreasing relation from lowest to highest trading volume ETFs. Fixed-income ETFs have the highest adverse selection component coefficient whereas real estate ETFs have the lowest. Additionally, mutual fund structured ETFs have lower adverse selection component coefficient than the trust structured ETFs. We also document that ETFs with more quotes have lower adverse selection; whereas ETFs with higher average bid price, higher expense ratio and trust structuring of the ETF have higher adverse selection component of the bid-ask spread.

Suggested Citation

  • Ivanov, Stoyu I., 2016. "Analysis of ETF bid-ask spread components," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 249-259.
    • Handle: RePEc:eee:quaeco:v:61:y:2016:i:c:p:249-259
    DOI: 10.1016/j.qref.2016.02.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976916000181
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.qref.2016.02.004?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. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Hegde, Shantaram P. & McDermott, John B., 2004. "The market liquidity of DIAMONDS, Q's, and their underlying stocks," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1043-1067, May.
    3. 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.
    4. Choi, J. Y. & Salandro, Dan & Shastri, Kuldeep, 1988. "On the Estimation of Bid-Ask Spreads: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(2), pages 219-230, June.
    5. Chelley-Steeley, Patricia & Park, Keebong, 2010. "The adverse selection component of exchange traded funds," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 65-76, January.
    6. Neal, Robert & Wheatley, Simon M., 1998. "Adverse selection and bid-ask spreads: Evidence from closed-end funds," Journal of Financial Markets, Elsevier, vol. 1(1), pages 121-149, April.
    7. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    8. 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.
    9. Glosten, Lawrence R, 1987. "Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    10. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    11. repec:bla:jfinan:v:44:y:1989:i:1:p:115-34 is not listed on IDEAS
    12. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    13. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-656.
    14. Levin, Eric J. & Wright, Robert E., 2004. "Estimating the profit markup component of the bid-ask spread: evidence from the London Stock Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 1-19, February.
    15. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    16. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    17. Bessembinder, Hendrik, 2003. "Issues in assessing trade execution costs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 233-257, May.
    18. Lin, Ji-Chai & Sanger, Gary C & Booth, G Geoffrey, 1995. "Trade Size and Components of the Bid-Ask Spread," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 1153-1183.
    19. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
    20. Richard DeFusco & Stoyu Ivanov & Gordon Karels, 2011. "The exchange traded funds’ pricing deviation: analysis and forecasts," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(2), pages 181-197, April.
    21. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 529-551, December.
    22. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, 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. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    3. Yu Chuan Huang, 2004. "The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 835-860, September.
    4. Bardong, Florian & Bartram, Söhnke M. & Yadav, Pradeep K., 2005. "Informed Trading, Information Asymmetry and Pricing of Information Risk: Empirical Evidence from the NYSE," MPRA Paper 13586, University Library of Munich, Germany, revised 10 Oct 2008.
    5. Lamoureux, Christopher G. & Wang, Qin, 2015. "Measuring private information in a specialist market," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 92-119.
    6. Rudy De Winne & Christophe Majois, 2003. "A comparison of alternative spread décomposition models on Euronext Brussels," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 46(4), pages 91-136.
    7. 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.
    8. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    9. Araújo, Gustavo Silva & Barbedo, Claudio Henrique da S. & Vicente, José Valentim M., 2014. "The adverse selection cost component of the spread of Brazilian stocks," Emerging Markets Review, Elsevier, vol. 21(C), pages 21-41.
    10. George Tannous & Juan Wang & Craig Wilson, 2013. "The Intraday Pattern of Information Asymmetry, Spread, and Depth: Evidence from the NYSE," International Review of Finance, International Review of Finance Ltd., vol. 13(2), pages 215-240, June.
    11. Flannery, Mark J. & Kwan, Simon H. & Nimalendran, M., 2004. "Market evidence on the opaqueness of banking firms' assets," Journal of Financial Economics, Elsevier, vol. 71(3), pages 419-460, March.
    12. Pascual, Roberto, 2000. "Adverse selection costs, trading activity and liquidity in the NYSE: an empirical analysis in a dynamic context," UC3M Working papers. Economics 7276, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Lin, Ji-Chai & Sanger, Gary C. & Geoffrey Booth, G., 1998. "External information costs and the adverse selection problem: A comparison of NASDAQ and NYSE stocks," International Review of Financial Analysis, Elsevier, vol. 7(2), pages 113-136.
    14. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    15. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    16. G. Wuyts, 2007. "Stock Market Liquidity.Determinants and Implications," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 279-316.
    17. Martin Angerer & Georg Peter & Sebastian Stoeckl & Thomas Wachter & Matthias Bank & Marco Menichetti, 2018. "Bid-Ask Spread Patterns and the Optimal Timing for Discretionary Liquidity Traders on Xetra," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 70(3), pages 209-230, July.
    18. Andy Snell & Ian Tonks, 1996. "Utilising Time Series Methods to Assess Information and Inventory Effects in a Dealer Market in Illiquid Stocks," FMG Discussion Papers dp242, Financial Markets Group.
    19. Snell, Andy & Tonks, Ian, 1996. "Using time series methods to assess information and inventory effects in a dealer market in Il-liquid stocks," LSE Research Online Documents on Economics 119167, London School of Economics and Political Science, LSE Library.
    20. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.

    More about this item

    Keywords

    Exchange traded funds; ETF; Bid-ask spread; Adverse selection;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:quaeco:v:61:y:2016:i:c:p:249-259. 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/620167 .

    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.