IDEAS home Printed from https://ideas.repec.org/a/bla/finrev/v45y2010i2p375-386.html
   My bibliography  Save this article

Stock Splits and Bond Yields: Isolating the Signaling Hypothesis

Author

Listed:
  • David Michayluk
  • Ruoyun Zhao

Abstract

One explanation offered for stock splits is that the split signals positive information by reducing the stock price range in expectation of improved future prospects. Price declines also lead to changes in stock price dynamics, but related securities are not subject to these other changes and therefore can be used to provide a separate assessment of the markets’ interpretation of the split. We examine corporate bond issues around stock splits and find a significant decline in the bond yield spread following stock splits, supporting the signaling hypothesis. We also confirm improvements in forecasted and realized earnings subsequent to stock splits.

Suggested Citation

  • David Michayluk & Ruoyun Zhao, 2010. "Stock Splits and Bond Yields: Isolating the Signaling Hypothesis," The Financial Review, Eastern Finance Association, vol. 45(2), pages 375-386, May.
  • Handle: RePEc:bla:finrev:v:45:y:2010:i:2:p:375-386
    DOI: 10.1111/j.1540-6288.2010.00252.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1540-6288.2010.00252.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1540-6288.2010.00252.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
    ---><---

    Citations

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


    Cited by:

    1. 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).
    2. Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2015. "Bond market event study methods," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 281-293.
    3. Júlio Lobão & Sílvia Santos, 2019. "Stock Market Reaction To Brexit Announcements: Evidence From A Natural Experiment," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-17, September.
    4. Ann Marie Hibbert & Ivelina Pavlova & Joel Barber & Krishnan Dandapani, 2011. "Credit Spread Changes and Equity Volatility: Evidence from Daily Data," The Financial Review, Eastern Finance Association, vol. 46(3), pages 357-383, 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:bla:finrev:v:45:y:2010:i:2:p:375-386. 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/efaaaea.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.