IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v58y2003i3p1063-1085.html
   My bibliography  Save this article

Long‐run Performance after Stock Splits: 1927 to 1996

Author

Listed:
  • Jinho Byun
  • Michael S. Rozeff

Abstract

We measure the postsplit performance of 12,747 stock splits from 1927 to 1996 using two methods to measure abnormal returns: size and book‐to‐market reference portfolios with bootstrapping, and calendar‐time abnormal returns combined with factor models. Between 1927 and 1996, neither method applied to splits 25 percent or larger finds performance significantly different from zero. Over selected subperiods, subsamples of 2–1 splits restricted by book‐to‐market availability requirements display positive abnormal returns using some methods. However, these samples show small or negligible abnormal returns using the calendar‐time method. Overall, the stock split evidence against market efficiency is neither pervasive nor compelling.

Suggested Citation

  • Jinho Byun & Michael S. Rozeff, 2003. "Long‐run Performance after Stock Splits: 1927 to 1996," Journal of Finance, American Finance Association, vol. 58(3), pages 1063-1085, June.
    • Handle: RePEc:bla:jfinan:v:58:y:2003:i:3:p:1063-1085
    DOI: 10.1111/1540-6261.00558
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6261.00558
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1540-6261.00558?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li Eng & Joohyung Ha & Sandeep Nabar, 2014. "The impact of regulation FD on the information environment: evidence from the stock market response to stock split announcements," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 829-853, November.
    2. Nguyen, Vinh & Tran, Anh & Zeckhauser, Richard, 2017. "Stock splits to profit insider trading: Lessons from an emerging market," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 69-87.
    3. Cheng, Yingmei, 2005. "Post-listing underperformance: Is it really bad to move trading locations?," Journal of Corporate Finance, Elsevier, vol. 12(1), pages 97-120, December.
    4. Hu, Conghui & Liu, Yu-Jane & Xu, Xin, 2021. "The valuation effect of stock dividends or splits: Evidence from a catering perspective," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 163-179.
    5. Chou, De-Wai & Liu, Yi & Zantout, Zaher, 2009. "Long-term stock performance following extraordinary and special cash dividends," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(1), pages 54-73, February.
    6. Walker, Scott, 2021. "Post-split underreaction: The importance of prior split history," International Review of Financial Analysis, Elsevier, vol. 78(C).
    7. Hu, May & Chao, Chi-Chur & Malone, Chris & Young, Martin, 2017. "Real determinants of stock split announcements," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 574-598.
    8. Chen, Honghui & Nguyen, Hoang Huy & Singal, Vijay, 2011. "The information content of stock splits," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2454-2467, September.
    9. Xu Li, 2011. "Behavioral theories and the pricing of IPOs’ discretionary current accruals," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 87-104, July.
    10. Dutta, Anupam & Knif, Johan & Kolari, James W. & Pynnonen, Seppo, 2018. "A robust and powerful test of abnormal stock returns in long-horizon event studies," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 1-24.
    11. Anginer,Deniz & Han,Snow Xue & Yildizhan,Celim, 2017. "Do individual investors ignore transaction costs ?," Policy Research Working Paper Series 8098, The World Bank.
    12. Chang, Young Bong & Kwon, YoungOk, 2020. "Attention-grabbing IPOs in early stages for IT firms: An empirical analysis of post-IPO performance," Journal of Business Research, Elsevier, vol. 109(C), pages 111-119.
    13. Ahmed M. Elnahas & Pankaj K. Jain & Thomas H. McInish, 2022. "Mixed‐signal stock splits," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(5-6), pages 934-962, May.
    14. Zhao, Yi & Wang, Nan & Zhang, Luyang & Sun, Baiqing & Yang, Yuchen, 2022. "The greater the investor attention, the better the post-IPO performance? A view of pre-IPO and post-IPO investor attention," Research in International Business and Finance, Elsevier, vol. 63(C).
    15. Hwang, Soosung & Keswani, Aneel & Shackleton, Mark B., 2008. "Surprise vs anticipated information announcements: Are prices affected differently? An investigation in the context of stock splits," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 643-653, May.
    16. Danielova, Anna N. & Smart, Scott B. & Boquist, John, 2010. "What motivates exchangeable debt offerings?," Journal of Corporate Finance, Elsevier, vol. 16(2), pages 159-169, April.
    17. Gopal K. Basak & Arnab Bhattacharjee & Samarjit Das, 2018. "Causal ordering and inference on acyclic networks," Empirical Economics, Springer, vol. 55(1), pages 213-232, August.
    18. Ravi Dhar & William Goetzmann & Ning Zhu & EFA Moscow, 2004. "The Impact of Clientele Changes: Evidence from Stock Splits," Yale School of Management Working Papers ysm369, Yale School of Management, revised 01 Sep 2009.
    19. Chern, Keh-Yiing & Tandon, Kishore & Yu, Susana & Webb, Gwendolyn, 2008. "The information content of stock split announcements: Do options matter?," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 930-946, June.
    20. Hu, May & Tuilautala, Mataiasi & Kang, Yuni, 2019. "Bandwagon effect: Special dividend payments," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 339-363.
    21. Jegadeesh, Narasimhan & Karceski, Jason, 2009. "Long-run performance evaluation: Correlation and heteroskedasticity-consistent tests," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 101-111, January.
    22. Chan, Konan & Li, Fengfei & Lin, Tse-Chun, 2019. "Earnings management and post-split drift," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 136-146.
    23. Zaremba, Adam & Okoń, Szymon & Asyngier, Roman & Schroeter, Lucia, 2019. "Reverse splits in international stock markets: Reconciling the evidence on long-term returns," Research in International Business and Finance, Elsevier, vol. 47(C), pages 552-562.

    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:bla:jfinan:v:58:y:2003:i:3:p:1063-1085. 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.

    We have no bibliographic references for this item. You can help adding them by using 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://edirc.repec.org/data/afaaaea.html .

    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.