IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v18y2011i5p953-971.html
   My bibliography  Save this article

Nonparametric rank tests for event studies

Author

Listed:
  • Kolari, James W.
  • Pynnonen, Seppo

Abstract

Because stock prices are not normally distributed, the power of nonparametric rank tests dominate parametric tests in event study analyses of abnormal returns on a single day. However, problems arise in the application of nonparametric tests to multiple day analyses of cumulative abnormal returns (CARs) that have caused researchers to normally rely upon parametric tests. In an effort to overcome this shortfall, this paper proposes a generalized rank (GRANK) testing procedure that can be used on both single day and cumulative abnormal returns. Asymptotic distributions of the associated test statistics are derived, and their empirical properties are studied with simulations of CRSP returns. The results show that the proposed GRANK procedure outperforms previous rank tests of CARs and is robust to abnormal return serial correlation and event-induced volatility. Moreover, the GRANK procedure exhibits superior empirical power relative to popular parametric tests.

Suggested Citation

  • Kolari, James W. & Pynnonen, Seppo, 2011. "Nonparametric rank tests for event studies," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 953-971.
    • Handle: RePEc:eee:empfin:v:18:y:2011:i:5:p:953-971
    DOI: 10.1016/j.jempfin.2011.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539811000624
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jempfin.2011.08.003?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. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Mikkelson, Wayne H., 1981. "Convertible calls and security returns," Journal of Financial Economics, Elsevier, vol. 9(3), pages 237-264, September.
    3. Jana P. Fidrmuc & Marc Goergen & Luc Renneboog, 2006. "Insider Trading, News Releases, and Ownership Concentration," Journal of Finance, American Finance Association, vol. 61(6), pages 2931-2973, December.
    4. Harrington, Scott E. & Shrider, David G., 2007. "All Events Induce Variance: Analyzing Abnormal Returns When Effects Vary across Firms," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 229-256, March.
    5. Prevost, Andrew K & Rao, Ramesh P, 2000. "Of What Value Are Shareholder Proposals Sponsored by Public Pension Funds?," The Journal of Business, University of Chicago Press, vol. 73(2), pages 177-204, April.
    6. James W. Kolari & Seppo Pynnönen, 2010. "Event Study Testing with Cross-sectional Correlation of Abnormal Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(11), pages 3996-4025, November.
    7. Dowdell, Thomas D. & Govindaraj, Suresh & Jain, Prem C., 1992. "The Tylenol Incident, Ensuing Regulation, and Stock Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(2), pages 283-301, June.
    8. 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.
    9. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    10. Kothari, S.P. & Leone, Andrew J. & Wasley, Charles E., 2005. "Performance matched discretionary accrual measures," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 163-197, February.
    11. Campbell, Cynthia J & Wasley, Charles E, 1996. "Measuring Abnormal Daily Trading Volume for Samples of NYSE/ASE and NASDAQ Securities Using Parametric and Nonparametric Test Statistics," Review of Quantitative Finance and Accounting, Springer, vol. 6(3), pages 309-326, May.
    12. Bhattacharya, Utpal & Daouk, Hazem & Jorgenson, Brian & Kehr, Carl-Heinrich, 2000. "When an event is not an event: the curious case of an emerging market," Journal of Financial Economics, Elsevier, vol. 55(1), pages 69-101, January.
    13. 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.
    14. Bailey, Warren & Andrew Karolyi, G. & Salva, Carolina, 2006. "The economic consequences of increased disclosure: Evidence from international cross-listings," Journal of Financial Economics, Elsevier, vol. 81(1), pages 175-213, July.
    15. 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.
    16. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    17. Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(3), pages 465-478, September.
    18. Rosenstein, Stuart & Wyatt, Jeffrey G., 1990. "Outside directors, board independence, and shareholder wealth," Journal of Financial Economics, Elsevier, vol. 26(2), pages 175-191, August.
    19. Campbell, Cynthia J. & Wesley, Charles E., 1993. "Measuring security price performance using daily NASDAQ returns," Journal of Financial Economics, Elsevier, vol. 33(1), pages 73-92, February.
    20. Porter, Gary E & Roenfeldt, Rodney L & Sicherman, Neil W, 1999. "The Value of Open Market Repurchases of Closed-End Fund Shares," The Journal of Business, University of Chicago Press, vol. 72(2), pages 257-276, April.
    21. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    22. Charest, Guy, 1978. "Dividend information, stock returns and market efficiency-II," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 297-330.
    23. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    24. D'Souza, Julia & Jacob, John, 2000. "Why firms issue targeted stock," Journal of Financial Economics, Elsevier, vol. 56(3), pages 459-483, June.
    25. Chuck C Y Kwok & LeRoy D Brooks, 1990. "Examining Event Study Methodologies in Foreign Exchange Markets," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 21(2), pages 189-224, June.
    26. Penman, Stephen H, 1982. "Insider Trading and the Dissemination of Firms' Forecast Information," The Journal of Business, University of Chicago Press, vol. 55(4), pages 479-503, October.
    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. Andres, Christian & Betzer, André & Doumet, Markus, 2021. "Measuring changes in credit risk: The case of CDS event studies," Global Finance Journal, Elsevier, vol. 49(C).
    2. 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.
    3. Maul, D. & Schiereck, D., 2017. "The bond event study methodology since 1974," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 80723, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. English, Philip II & Smythe, Thomas I. & McNeil, Chris R., 2004. "The "CalPERS effect" revisited," Journal of Corporate Finance, Elsevier, vol. 10(1), pages 157-174, January.
    5. Seppo Pynnonen, 2022. "Non-Parametric Statistic for Testing Cumulative Abnormal Stock Returns," JRFM, MDPI, vol. 15(4), pages 1-14, March.
    6. Kiesel, Florian & Ries, Jörg M. & Tielmann, Artur, 2017. "Reprint of “The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 261-277.
    7. Farruggio, Christian & Michalak, Tobias C. & Uhde, Andre, 2013. "The light and dark side of TARP," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2586-2604.
    8. Kiesel, Florian & Ries, Jörg M. & Tielmann, Artur, 2017. "The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry," International Journal of Production Economics, Elsevier, vol. 193(C), pages 781-797.
    9. Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2015. "Bond market event study methods," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 281-293.
    10. Ding, Li & Lam, Hugo K.S. & Cheng, T.C.E. & Zhou, Honggeng, 2018. "A review of short-term event studies in operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 200(C), pages 329-342.
    11. Panayiotis C. Andreou & Christodoulos Louca & Christos S. Savva, 2016. "Short-horizon event study estimation with a STAR model and real contaminated events," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 673-697, October.
    12. Vahidin Jeleskovic & Yinan Wan, 2024. "The impact of Facebook-Cambridge Analytica data scandal on the USA tech stock market: An event study based on clustering method," Papers 2402.14206, arXiv.org.
    13. Florian Berg & Yannick Le Pen, 2013. "Do corporate bond and credit default swap markets value environmental, social or corporate governance events?," Post-Print hal-01613922, HAL.
    14. Lanfear, Matthew G. & Lioui, Abraham & Siebert, Mark G., 2019. "Market anomalies and disaster risk: Evidence from extreme weather events," Journal of Financial Markets, Elsevier, vol. 46(C).
    15. Amavi S. S. Agbodji & Emmanuelle Nys & Alain Sauviat, 2021. "Do CDS Maturities Matter in the Evaluation of the Information Content of Regulatory Banking Stress Tests? Evidence from European and US Stress Tests," Revue économique, Presses de Sciences-Po, vol. 72(1), pages 65-102.
    16. Pandey, Dharen Kumar & Kumari, Vineeta, 2021. "Event study on the reaction of the developed and emerging stock markets to the 2019-nCoV outbreak," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 467-483.
    17. Frendy, & Hu, Dan, 2014. "Japanese stock market reaction to announcements of news affecting auditors’ reputation: The case of the Olympus fraud," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(3), pages 206-224.
    18. Campbell, Cynthia J. & Cowan, Arnold R. & Salotti, Valentina, 2010. "Multi-country event-study methods," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 3078-3090, December.
    19. Brogaard, Jonathan & Koski, Jennifer L. & Siegel, Andrew F., 2019. "Do upgrades matter? Evidence from trading volume," Journal of Financial Markets, Elsevier, vol. 43(C), pages 54-77.
    20. Jan Bartholdy & Dennis Olson & Paula Peare, 2007. "Conducting Event Studies on a Small Stock Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 13(3), pages 227-252.

    More about this item

    Keywords

    Rank test; Abnormal returns; Event study; Standardized returns;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:empfin:v:18:y:2011:i:5:p:953-971. 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/jempfin .

    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.