IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v33y2009i4p410-421.html
   My bibliography  Save this article

Predicting stock splits with the help of firm-specific experiences

Author

Listed:
  • Kevin Krieger
  • David Peterson

Abstract

No abstract is available for this item.

Suggested Citation

  • Kevin Krieger & David Peterson, 2009. "Predicting stock splits with the help of firm-specific experiences," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 410-421, October.
  • Handle: RePEc:spr:jecfin:v:33:y:2009:i:4:p:410-421
    DOI: 10.1007/s12197-008-9054-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12197-008-9054-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s12197-008-9054-2?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., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    2. Lakonishok, Josef & Lev, Baruch, 1987. "Stock Splits and Stock Dividends: Why, Who, and When," Journal of Finance, American Finance Association, vol. 42(4), pages 913-932, September.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Ikenberry, David L. & Rankine, Graeme & Stice, Earl K., 1996. "What Do Stock Splits Really Signal?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(3), pages 357-375, September.
    5. Nayak, Subhankar & Prabhala, Nagpurnanand R, 2001. "Disentangling the Dividend Information in Splits: A Decomposition Using Conditional Event-Study Methods," Review of Financial Studies, Society for Financial Studies, vol. 14(4), pages 1083-1116.
    6. David L. Ikenberry & Sundaresh Ramnath, 2002. "Underreaction to Self-Selected News Events: The Case of Stock Splits," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 489-526, March.
    7. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    8. Grinblatt, Mark S. & Masulis, Ronald W. & Titman, Sheridan, 1984. "The valuation effects of stock splits and stock dividends," Journal of Financial Economics, Elsevier, vol. 13(4), pages 461-490, December.
    9. 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.
    10. Carey, Kenneth J. & de Souza, Joao B., 1975. "A sort-rank test of predictive variables for stock splits," Journal of Business Research, Elsevier, vol. 3(3), pages 177-188, July.
    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. S. Amir Tabibian & Zhaoyong Zhang & Mohsen Jafarian, 2020. "How Does Split Announcement Affect Stock Liquidity? Evidence from Bursa Malaysia," Risks, MDPI, vol. 8(3), pages 1-14, August.
    2. Andy Fodor & Kevin Krieger & Nathan Mauck & Greg Stevenson, 2013. "Predicting Extreme Returns And Portfolio Management Implications," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(4), pages 471-492, 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. 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.
    2. Li, Fengfei & Lin, Ji-Chai & Lin, Tse-Chun & Shang, Longfei, 2023. "Behavioral bias, distorted stock prices, and stock splits," Journal of Banking & Finance, Elsevier, vol. 154(C).
    3. Beladi, Hamid & Chao, Chi Chur & Hu, May, 2016. "Another January effect—Evidence from stock split announcements," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 123-138.
    4. 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.
    5. Bill B. Francis & Iftekhar Hasan & Mingming Zhou, 2013. "The effects of stock splits on the bid-ask spread of syndicated loans," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(1/2), pages 159-187.
    6. 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.
    7. 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.
    8. 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.
    9. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    10. William C. Weld & Roni Michaely & Richard H. Thaler & Shlomo Benartzi, 2009. "The Nominal Share Price Puzzle," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 121-142, Spring.
    11. Oral Erdogan & Ari Yezegel, 2009. "The news of no news in stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 9(8), pages 897-909.
    12. Sunil Mohanty & Doocheol Moon, 2007. "Disentangling the signalling and liquidity effects of stock splits," Applied Financial Economics, Taylor & Francis Journals, vol. 17(12), pages 979-987.
    13. Yagüe, José & Gómez-Sala, J. Carlos & Poveda-Fuentes, Francisco, 2009. "Stock split size, signaling and earnings management: Evidence from the Spanish market," Global Finance Journal, Elsevier, vol. 20(1), pages 31-47.
    14. Lin, Ji-Chai & Singh, Ajai K. & Yu, Wen, 2009. "Stock splits, trading continuity, and the cost of equity capital," Journal of Financial Economics, Elsevier, vol. 93(3), pages 474-489, September.
    15. Maria Chiara Iannino & Sergey Zhuk, 2020. "Signaling through Timing of Stock Splits," Discussion Paper Series, School of Economics and Finance 202009, School of Economics and Finance, University of St Andrews, revised 18 Jun 2021.
    16. Kalotychou, Elena & Staikouras, Sotiris K. & Zagonov, Maxim, 2009. "The UK equity market around the ex-split date," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 534-549, July.
    17. Cahit Adaoglu & Meziane Lasfer, 2011. "Why Do Companies Pay Stock Dividends? The Case of Bonus Distributions in an Inflationary Environment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(5-6), pages 601-627, June.
    18. Walker, Scott, 2021. "Post-split underreaction: The importance of prior split history," International Review of Financial Analysis, Elsevier, vol. 78(C).
    19. Louis, Henock & Robinson, Dahlia, 2005. "Do managers credibly use accruals to signal private information? Evidence from the pricing of discretionary accruals around stock splits," Journal of Accounting and Economics, Elsevier, vol. 39(2), pages 361-380, June.
    20. Khamis H. Al-Yahyaee, 2014. "Frequency and Motives for Stock Dividends in a Unique Environment," International Review of Finance, International Review of Finance Ltd., vol. 14(2), pages 295-318, June.

    More about this item

    Keywords

    Stock Splits; Prediction Model; Market Efficiency; G14; G11;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:spr:jecfin:v:33:y:2009:i:4:p:410-421. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.