IDEAS home Printed from https://ideas.repec.org/a/wsi/tijaxx/v59y2024i03ns1094406024500173.html
   My bibliography  Save this article

The Role of Fair Value Accounting in Debt Structure Decisions: Evidence from Priority Structure and Financial Flexibility

Author

Listed:
  • Dongyi Wang

    (Accounting Department, David Nazarian College of Business and Economics, California State University, Northridge, CA 91330, USA)

Abstract

SynopsisThe research problemThis study investigates whether the debt structure of a firm — that is, how a firm organizes its debt contracts — depends on the extent to which fair value measurement is applied to the balance sheet.MotivationMost public firms have a nontrivial percentage of balance sheet items measured at fair value under the mixed attribute accounting, and there is a lack of understanding of its effect on the reporting entity’s debt structure. This study focuses on two aspects of the debt structure that have both practical and theoretical relevance, namely the priority structure and the financial flexibility. A priority structure involves the simultaneous use of different priorities of debt and is common among risky borrowers. Survey results show that financial flexibility is of first-order importance regarding the debt policy of firms. Here, financial flexibility refers to a firm’s ability to pursue new investment opportunities via debt issuance.The test hypothesesThe first hypothesis states that a borrower with a higher percentage of balance sheet items measured at fair value is less likely to have a priority structure. The second hypothesis states that a borrower with a higher portion of balance sheet items measured at fair value likely has a debt structure that is more financially flexible. The third hypothesis states that the fair value of liabilities and the fair value of assets are equally relevant to debt structure decisions.Target populationThis study focuses on nonfinancial firms in North America that are subject to the mixed attribute accounting, which measures a certain percentage of assets and liabilities at fair value.Adopted methodologyThe main tests use multivariate analysis that includes both logistic regressions and OLS regressions. Additional tests include cross-sectional analyses and the Granger causality test.AnalysisUsing a sample constructed from Compustat North America and Capital IQ (6,220 firms and 36,487 firm-year observations), the main tests regress dependent variables, namely the priority structure measures and financial flexibility, on the exposure to fair value measurement.FindingsResults show that fair value measurement reduces information asymmetry and has favorable effects on the debt structure. A high exposure to fair value measurement reduces the need for a priority structure. A high exposure to fair value measurement also enhances financial flexibility. Additional analyses reveal that the favorable effect mainly comes from assets measured at fair value. The effect becomes weaker with respect to liabilities measured at fair value.

Suggested Citation

  • Dongyi Wang, 2024. "The Role of Fair Value Accounting in Debt Structure Decisions: Evidence from Priority Structure and Financial Flexibility," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., vol. 59(03), pages 1-33, September.
  • Handle: RePEc:wsi:tijaxx:v:59:y:2024:i:03:n:s1094406024500173
    DOI: 10.1142/S1094406024500173
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1094406024500173
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S1094406024500173?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.

    More about this item

    Keywords

    Fair value; debt capital structure; SFAS 157;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:wsi:tijaxx:v:59:y:2024:i:03:n:s1094406024500173. 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: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/tija .

    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.