IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v54y2019icp118-131.html
   My bibliography  Save this article

Liquidity and earnings in event studies: Does data granularity matter?

Author

Listed:
  • Bohmann, Marc
  • Michayluk, David
  • Patel, Vinay
  • Walsh, Kathleen

Abstract

Market microstructure data availability has significantly improved over time and it is now possible to estimate liquidity measures at the nanosecond level. However, this level of data is unavailable in all markets and time periods and there is a significant cost and computational burden of high-frequency data. Goyenko et al. (2009) and Fong et al. (2017) show that various low-frequency liquidity measures can proxy for high-frequency benchmarks and show that the results are robust across countries and time. However, liquidity measures do not always behave in the expected fashion during periods of information asymmetry (Collin-Dufresne and Fos, 2015). Drawing from Ball and Brown (1968), we use an event study methodology to investigate whether the low-frequency measures of liquidity can proxy for high-frequency measures around earnings announcements (i.e., periods of information asymmetry). We find that the Closing-Price-Quoted-Spread is the best proxy for the percent-cost high-frequency benchmarks. In contrast, using cross-sectional, portfolio and individual time-series correlations the most consistent low-frequency cost-per-dollar proxies are the High-Low-Impact and Closing-Price-Quoted-Spread-Impact, however, the performance of these proxies weakens in the pre- and post-announcement periods around the earnings announcement.

Suggested Citation

  • Bohmann, Marc & Michayluk, David & Patel, Vinay & Walsh, Kathleen, 2019. "Liquidity and earnings in event studies: Does data granularity matter?," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 118-131.
    • Handle: RePEc:eee:pacfin:v:54:y:2019:i:c:p:118-131
    DOI: 10.1016/j.pacfin.2018.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X18304633
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2018.12.007?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. Creighton, Adam & Gower, Luke & Richards, Anthony J., 2007. "The impact of rating changes in Australian financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 15(1), pages 1-17, January.
    2. Andrew W. Lo & Jiang Wang, 2006. "Trading Volume: Implications of an Intertemporal Capital Asset Pricing Model," Journal of Finance, American Finance Association, vol. 61(6), pages 2805-2840, December.
    3. Pritamani, Mahesh & Singal, Vijay, 2001. "Return predictability following large price changes and information releases," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 631-656, April.
    4. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    5. Ikenberry, David & Lakonishok, Josef & Vermaelen, Theo, 1995. "Market underreaction to open market share repurchases," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 181-208.
    6. Pevzner, Mikhail & Xie, Fei & Xin, Xiangang, 2015. "When firms talk, do investors listen? The role of trust in stock market reactions to corporate earnings announcements," Journal of Financial Economics, Elsevier, vol. 117(1), pages 190-223.
    7. Patel, Vinay & Putniņš, Tālis J. & Michayluk, David & Foley, Sean, 2020. "Price discovery in stock and options markets," Journal of Financial Markets, Elsevier, vol. 47(C).
    8. Kingsley Y. L. Fong & Craig W. Holden & Charles A. Trzcinka, 2017. "What Are the Best Liquidity Proxies for Global Research?," Review of Finance, European Finance Association, vol. 21(4), pages 1355-1401.
    9. Alessandro Beber & Marco Pagano, 2013. "Short-Selling Bans Around the World: Evidence from the 2007–09 Crisis," Journal of Finance, American Finance Association, vol. 68(1), pages 343-381, February.
    10. Meulbroek, Lisa K, 1992. "An Empirical Analysis of Illegal Insider Trading," Journal of Finance, American Finance Association, vol. 47(5), pages 1661-1699, December.
    11. Chung, Kee H. & Zhang, Hao, 2014. "A simple approximation of intraday spreads using daily data," Journal of Financial Markets, Elsevier, vol. 17(C), pages 94-120.
    12. 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.
    13. Sean A. Anthonisz & Talis Putnins, 2017. "Asset Pricing with Downside Liquidity Risks," Published Paper Series 2017-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Hao, (Grace) Qing, 2016. "Is there information leakage prior to share repurchase announcements? Evidence from daily options trading," Journal of Financial Markets, Elsevier, vol. 27(C), pages 79-101.
    15. Martin Bugeja & Vinay Patel & Terry Walter, 2015. "The microstructure of Australian takeover announcements," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 161-188, February.
    16. Michael J. Brennan & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2018. "High-Frequency Measures of Informed Trading and Corporate Announcements," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2326-2376.
    17. 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.
    18. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2012. "Commodity Liquidity Measurement and Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 25(2), pages 599-638.
    19. Pierre Collin-Dufresne & Vyacheslav Fos, 2015. "Do Prices Reveal the Presence of Informed Trading?," Journal of Finance, American Finance Association, vol. 70(4), pages 1555-1582, August.
    20. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.
    21. 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.
    22. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    23. Barber, Brad M. & De George, Emmanuel T. & Lehavy, Reuven & Trueman, Brett, 2013. "The earnings announcement premium around the globe," Journal of Financial Economics, Elsevier, vol. 108(1), pages 118-138.
    24. Venkatesh, P C & Chiang, R, 1986. "Information Asymmetry and the Dealer's Bid-Ask Spread: A Case Study of Earnings and Dividend Announcements," Journal of Finance, American Finance Association, vol. 41(5), pages 1089-1102, December.
    25. Kerry Back & Kevin Crotty & Tao Li, 2018. "Identifying Information Asymmetry in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2277-2325.
    26. Krinsky, Itzhak & Lee, Jason, 1996. "Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    27. Raphael Schestag & Philipp Schuster & Marliese Uhrig-Homburg, 2016. "Measuring Liquidity in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 29(5), pages 1170-1219.
    28. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    29. Kenneth R Ahern, 0. "Do Proxies for Informed Trading Measure Informed Trading? Evidence from Illegal Insider Trades," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(3), pages 397-440.
    30. Agrawal, Anup & Nasser, Tareque, 2012. "Insider trading in takeover targets," Journal of Corporate Finance, Elsevier, vol. 18(3), pages 598-625.
    31. repec:uts:ppaper:y:2016:1 is not listed on IDEAS
    32. Vermaelen, Theo, 1981. "Common stock repurchases and market signalling : An empirical study," Journal of Financial Economics, Elsevier, vol. 9(2), pages 139-183, June.
    33. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    34. Patel, Vinay & Michayluk, David, 2016. "Return predictability following different drivers of large price changes," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 202-214.
    35. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    36. John, Kose & Lang, Larry H P, 1991. "Insider Trading around Dividend Announcements: Theory and Evidence," Journal of Finance, American Finance Association, vol. 46(4), pages 1361-1389, September.
    37. Pierre Collin-Dufresne & Vyacheslav Fos, 2013. "Do Prices Reveal the Presence of Informed Trading?," Swiss Finance Institute Research Paper Series 13-69, Swiss Finance Institute, revised Sep 2015.
    38. repec:oup:rfinst:v:21:y:2017:i:4:p:1355-1401. is not listed on IDEAS
    39. I. Krinsky & J. Lee, 1996. "Earning Announcements and the Components of the Bid-Ask Aspread," Quantitative Studies in Economics and Population Research Reports 313, McMaster University.
    40. Kathryn Barraclough & David T. Robinson & Tom Smith & Robert E. Whaley, 2013. "Using Option Prices to Infer Overpayments and Synergies in M&A Transactions," The Review of Financial Studies, Society for Financial Studies, vol. 26(3), pages 695-722.
    41. 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. Robert W. Faff, 2019. "Adopting a Structured Abstract Design to More Effectively Catch Reader Attention: An Application of the Pitching Research® Framework," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 1-13.
    2. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Marc J. M. Bohmann & Vinay Patel, 2022. "Informed options trading prior to FDA announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(7-8), pages 1211-1236, July.
    4. Robert Faff & Tim Kastelle & Micheal Axelsen & Mark Brosnan & Rebecca Michalak & Kathleen Walsh, 2021. "Pitching research for engagement and impact: a simple tool and illustrative examples," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3329-3383, June.
    5. Aman, Hiroyuki & Beekes, Wendy & Berkman, Henk & Bohmann, Marc & Bradbury, Michael & Chapple, Larelle & Chang, Millicent & Clout, Victoria & Faff, Robert & Han, Jianlei & Hillier, David & Hodgson, All, 2019. "Responsible science: Celebrating the 50-year legacy of Ball and Brown (1968) using a registration-based framework," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 129-150.
    6. Alexandre Ripamonti & Raphael Videira & Denis Ichimura, 2020. "Asymmetric information and daily stock prices in Brazil," Estudios Gerenciales, Universidad Icesi, vol. 36(157), pages 465-472, December.

    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. Marc Bohmann, 2020. "Price Discovery and Information Asymmetry in Equity and Commodity Futures Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2020, January-A.
    2. 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).
    3. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    4. 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.
    5. 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.
    6. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    7. Tarun Chordia & Jianfeng Hu & Avanidhar Subrahmanyam & Qing Tong, 2019. "Order Flow Volatility and Equity Costs of Capital," Management Science, INFORMS, vol. 65(4), pages 1520-1551, April.
    8. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    9. Robert Stoumbos, 2023. "The Growth of Information Asymmetry Between Earnings Announcements and Its Implications for Reporting Frequency," Management Science, INFORMS, vol. 69(3), pages 1901-1928, March.
    10. Kingsley Y. L. Fong & Craig W. Holden & Charles A. Trzcinka, 2017. "What Are the Best Liquidity Proxies for Global Research?," Review of Finance, European Finance Association, vol. 21(4), pages 1355-1401.
    11. 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.
    12. Emiliano Pagnotta, 2016. "Chasing Private Information," 2016 Meeting Papers 1673, Society for Economic Dynamics.
    13. repec:oup:rfinst:v:21:y:2017:i:4:p:1355-1401. is not listed on IDEAS
    14. Mousumi Bhattacharya & Sharad Nath Bhattacharya & Sumit Kumar Jha, 2022. "Does time-varying illiquidity matter for the Indian stock market? Evidence from high-frequency data," Australian Journal of Management, Australian School of Business, vol. 47(2), pages 251-272, May.
    15. Chang, Sanders S. & Albert Wang, F., 2019. "Informed contrarian trades and stock returns," Journal of Financial Markets, Elsevier, vol. 42(C), pages 75-93.
    16. Huang, Chong & Lunawat, Radhika & Wang, Qiguang, 2024. "Disagreement about public information quality and informational price efficiency," Journal of Financial Economics, Elsevier, vol. 152(C).
    17. Monaco, Eleonora & Ibikunle, Gbenga & Palumbo, Riccardo & Zhang, Zeyu, 2022. "The liquidity and trading activity effects of acquisition payment methods: Evidence from the announcements of private firms' acquisitions," International Review of Financial Analysis, Elsevier, vol. 82(C).
    18. Yang, Yung Chiang & Zhang, Bohui & Zhang, Chu, 2020. "Is information risk priced? Evidence from abnormal idiosyncratic volatility," Journal of Financial Economics, Elsevier, vol. 135(2), pages 528-554.
    19. Li, Ting & Zaiats, Nataliya, 2017. "Information environment and earnings management of dual class firms around the world," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 1-23.
    20. Acheson, Graeme G. & Coyle, Christopher & Turner, John D., 2018. "Prices and informed trading: Evidence from an early stock market," QUCEH Working Paper Series 2018-05, Queen's University Belfast, Queen's University Centre for Economic History.
    21. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).

    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:eee:pacfin:v:54:y:2019:i:c:p:118-131. 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/pacfin .

    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.