IDEAS home Printed from https://ideas.repec.org/a/oup/revfin/v25y2021i2p275-324..html
   My bibliography  Save this article

Tradeoff Theory and Leverage Dynamics of High-Frequency Debt Issuers
[The leverage ratchet effect]

Author

Listed:
  • B Espen Eckbo
  • Michael Kisser

Abstract

We test whether high-frequency net-debt issuers (HFIs)—public industrial companies with relatively low issuance costs and high debt-financing benefits—manage leverage toward long-run targets. Our answer is they do not: (1) the leverage–profitability correlation is negative even in quarters with leverage rebalancing; (2) the speed-of-adjustment to target leverage deviations is no higher for HFIs than for low-frequency net-debt issuers; and (3) under-leveraged HFIs do not speed up rebalancing activity in significant investment periods. Thus, even in the subset of firms most likely to follow dynamic trade-off theory, the theory does not appear to hold.

Suggested Citation

  • B Espen Eckbo & Michael Kisser, 2021. "Tradeoff Theory and Leverage Dynamics of High-Frequency Debt Issuers [The leverage ratchet effect]," Review of Finance, European Finance Association, vol. 25(2), pages 275-324.
  • Handle: RePEc:oup:revfin:v:25:y:2021:i:2:p:275-324.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rof/rfaa018
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Usman, Adam, 2022. "Cash holdings and real asset liquidity," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Kisser, Michael & Rapushi, Loreta, 2022. "Equity issues, creditor control and market timing patterns: Evidence from leverage decreasing recapitalizations," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 196-216.
    3. Andrey Kulikov & Naief Alabed Alkader & Galina Panaedova & Aleksandr Ogorodnikov & Evgenii Rebeka, 2023. "Modelling Optimal Capital Structure in Gas and Oil Sector by Applying Simulation Theory and Programming Language of Python (Qatar Gas Transport Company)," Energies, MDPI, vol. 16(10), pages 1-15, May.

    More about this item

    Keywords

    High-frequency debt issuer; issue costs and benefits; dynamic rebalancing; leverage profitability relation; speed of adjustment; tradeoff theory;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:oup:revfin:v:25:y:2021:i:2:p:275-324.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eufaaea.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.