IDEAS home Printed from https://ideas.repec.org/a/wly/coacre/v10y1994i2p355-382.html
   My bibliography  Save this article

Market Microstructure: An Examination of the Effects on Intraday Event Studies

Author

Listed:
  • BELINDA MUCKLOW

Abstract

. This paper examines the implications for intraday event studies of market microstructure factors. It shows how market microstructure factors affect the price process and consequent issues that may arise when event studies are performed over successively shorter time intervals. These issues are examined empirically to determine the most effective way to deal with them. The issues examined are how to deal with time intervals with no trading, the choice of abnormal returns measurement, and the choice of statistical tests to determine if there is a significant price change, the increase in power of the statistical tests that can be attained from examining intraday rather than daily intervals. In conclusion, the best methods to detect price reactions at the intraday level are not the same as those that are currently standard practice for detecting price changes at the daily level. Additionally, intraday event studies are shown to detect significantly smaller price changes than is possible by performing daily event studies; this conclusion depends on the price reaction occurring within the time interval examined. Résumé. L'auteure examine queues sont les conséquences des facteurs relatifs à la microstructure du marché sur les études événementielles effectuées à l'intérieur d'une même journée. Elle décrit comment ces facteurs influent sur le processus d'établissement des prix et les questions que peut soulever la réalisation d'études événementielles à intervalles successifs plus courts. Ces questions, qu'elle examine sous l'angle empirique afin de déterminer la façon la plus efficace de les résoudre, sont les suivantes: le traitement des intervalles de temps pendant lesquels le marché est inactif, le choix de la mesure des rendements anormaux, le choix des tests statistiques visant à déterminer si une variation de prix est significative, et la puissance accrue des tests statistiques lorsque les études événementielles sont découpées par intervalles horaires plutôt que quotidiens. En conclusion, les méthodes les plus efficaces pour détecter les variations de prix à l'intérieur d'une même journée ne sont pas les mêmes que celles qui sont couramment utilisées pour détecter les variations de prix à intervalle quotidien. Il est, en outre, établi que les études événementielles effectuées à l'intérieur d'une même journée permettent de détecter des variations de prix beaucoup plus faibles que ne le permettent les études événementielles effectuées à intervalle quotidien; cette conclusion dépend du comportement des prix à l'intérieur de l'intervalle de temps examiné.

Suggested Citation

  • Belinda Mucklow, 1994. "Market Microstructure: An Examination of the Effects on Intraday Event Studies," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 355-382, March.
  • Handle: RePEc:wly:coacre:v:10:y:1994:i:2:p:355-382
    DOI: 10.1111/j.1911-3846.1994.tb00397.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1911-3846.1994.tb00397.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1911-3846.1994.tb00397.x?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. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Cohen, Kalman J, et al, 1980. "Implications of Microstructure Theory for Empirical Research on Stock Price Behavior," Journal of Finance, American Finance Association, vol. 35(2), pages 249-257, May.
    3. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    4. Blume, Marshall E. & Stambaugh, Robert F., 1983. "Biases in computed returns : An application to the size effect," Journal of Financial Economics, Elsevier, vol. 12(3), pages 387-404, November.
    5. Chandra, R & Moriarity, S & Willinger, Gl, 1990. "A Reexamination Of The Power Of Alternative Return-Generating Models And The Effect Of Accounting For Cross-Sectional Dependencies In Event Studies," Journal of Accounting Research, Wiley Blackwell, vol. 28(2), pages 398-408.
    6. Schwartz, Robert A & Whitcomb, David K, 1977. "The Time-Variance Relationship: Evidence on Autocorrelation in Common Stock Returns," Journal of Finance, American Finance Association, vol. 32(1), pages 41-55, March.
    7. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    8. Hawawini, Gabriel & Cohen, Kalman & Maier, Steven & Schwartz, Robert & Whitcomb, David, 1980. "Implications of microstructure theory for empirical research in stock price behavior," MPRA Paper 33976, University Library of Munich, Germany.
    9. Corrado, Charles J., 1989. "A nonparametric test for abnormal security-price performance in event studies," Journal of Financial Economics, Elsevier, vol. 23(2), pages 385-395, August.
    10. Ball, Clifford A, 1988. " Estimation Bias Induced by Discrete Security Prices," Journal of Finance, American Finance Association, vol. 43(4), pages 841-865, September.
    11. Gottlieb, Gary & Kalay, Avner, 1985. "Implications of the Discreteness of Observed Stock Prices," Journal of Finance, American Finance Association, vol. 40(1), pages 135-153, March.
    12. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    13. Marshall Blume & Robert Stambaugh, "undated". "Biases in Computed Returns: An Application to the Size Effect (Revision of 2-83)," Rodney L. White Center for Financial Research Working Papers 11-83, Wharton School Rodney L. White Center for Financial Research.
    14. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    15. Thomas H. McInish & Robert A. Wood, 1985. "Intraday And Overnight Returns And Day-Of-The-Week Effects," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 8(2), pages 119-126, June.
    16. Hawawini, Gabriel A., 1980. "Intertemporal Cross-Dependence in Securities Daily Returns and the Short-Run Intervaling Effect on Systematic Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(1), pages 139-149, March.
    17. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    18. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 29-45, March.
    19. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    20. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    21. Dyckman, T & Philbrick, D & Stephan, J, 1984. "A Comparison Of Event Study Methodologies Using Daily Stock Returns - A Simulation Approach," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 1-30.
    22. Dann, Larry Y. & Mayers, David & Raab, Robert Jr., 1977. "Trading rules, large blocks and the speed of price adjustment," Journal of Financial Economics, Elsevier, vol. 4(1), pages 3-22, January.
    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. Entorf, Horst & Steiner, Christian, 2006. "Makroökonomische Nachrichten und die Reaktion des 15-Sekunden-DAX: Eine Ereignisstudie zur Wirkung der ZEW-Konjunkturprognose," Darmstadt Discussion Papers in Economics 159, Darmstadt University of Technology, Department of Law and Economics.
    2. repec:jns:jbstat:v:227:y:2007:i:1:p:3-26 is not listed on IDEAS
    3. Santiago Velásquez & Juho Kanniainen & Saku Mäkinen & Jaakko Valli, 2018. "Layoff announcements and intra-day market reactions," Review of Managerial Science, Springer, vol. 12(1), pages 203-228, January.
    4. Elsas, Ralf & Schoch, Daniela Stephanie, 2023. "Robust inference in single firm/single event analyses," Journal of Corporate Finance, Elsevier, vol. 80(C).
    5. Entorf Horst & Steiner Christian, 2007. "Makroökonomische Nachrichten und die Reaktion des 15-Sekunden-DAX: Eine Ereignisstudie zur Wirkung der ZEW-Konjunkturprognose / Announcement of Business Cycle Forecasts and the Reaction of the German ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 3-26, February.
    6. Laura T. Starks, 1994. "Discussion of “Market Microstructure: An Examination of the Effects on Intraday Event Studies†," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 383-386, March.

    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. Bing Xiang, 1993. "The Choice of Return†Generating Models and Cross†Sectional Dependence in Event Studies," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 365-394, March.
    2. Lang, Larry H. P. & Lee, Yi Tsung, 1999. "Performance of various transaction frequencies under call markets: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 23-39, February.
    3. Deitz, George D. & Evans, Robert D. & Hansen, John D., 2013. "Sponsorship and shareholder value: A re-examination and extension," Journal of Business Research, Elsevier, vol. 66(9), pages 1427-1435.
    4. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    5. McGuire, Stephen J. & Dilts, David M., 2008. "The financial impact of standard stringency: An event study of successive generations of the ISO 9000 standard," International Journal of Production Economics, Elsevier, vol. 113(1), pages 3-22, May.
    6. Michael Aitken & Amaryllis Kua & Philip Brown & Terry Watter & H. Y. Izan, 1995. "An Intraday Analysis of the Probability of Trading on the ASX at the Asking Price," Australian Journal of Management, Australian School of Business, vol. 20(2), pages 115-154, December.
    7. Cunha, P.A.M.F.V., 2005. "The value of cooperation : Studies on the performance outcomes of interorganizational alliances," Other publications TiSEM 59466e6c-1920-461e-b5e9-b, Tilburg University, School of Economics and Management.
    8. B. M. Burton & A. A. Lonie & D. M. Power, 2000. "The impact of corporate growth opportunities on the market response to new equity announcements," Applied Financial Economics, Taylor & Francis Journals, vol. 10(1), pages 27-36.
    9. Corrado, Charles J. & Truong, Cameron, 2008. "Conducting event studies with Asia-Pacific security market data," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 493-521, November.
    10. Gosnell, Thomas F. & Keown, Arthur J. & Pinkerton, John M., 1996. "The intraday speed of stock price adjustment to major dividend changes: Bid-ask bounce and order flow imbalances," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 247-266, March.
    11. Doan, Minh Phuong & Sercu, Piet, 2021. "Modelling multiperiod patterns in stock-market reactions to events, with an application to serial acquisitions," International Review of Financial Analysis, Elsevier, vol. 77(C).
    12. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    13. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
    14. Chan, K. C. & Fong, Wai-Ming & Kho, Bong-Chan & Stulz, ReneM., 1996. "Information, trading and stock returns: Lessons from dually-listed securities," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1161-1187, August.
    15. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    16. Koski, Jennifer Lynch, 1998. "Measurement Effects and the Variance of Returns after Stock Splits and Stock Dividends," The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 143-162.
    17. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    18. Tim Bollerslev & Jia Li & Yuan Xue, 2018. "Volume, Volatility, and Public News Announcements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2005-2041.
    19. Chenglu Jin & Thomas Conlon & John Cotter, 2023. "Co-Skewness across Return Horizons," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1483-1518.
    20. Steven L. Heston & Robert A. Korajczyk & Ronnie Sadka, 2010. "Intraday Patterns in the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1369-1407, August.

    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:wly:coacre:v:10:y:1994:i:2:p:355-382. 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://doi.org/10.1111/(ISSN)1911-3846 .

    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.