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

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  • 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.

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  • 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
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    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. repec:bla:jfinan:v:43:y:1988:i:4:p:841-65 is not listed on IDEAS
    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.
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    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. Mika Vaihekoski, 2004. "Portfolio Construction for Tests of Asset Pricing Models," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 13(1), pages 1-39, February.
    6. 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.
    7. 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.

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