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

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

The International Journal of Accounting (TIJA), 2024, vol. 59, issue 03, 1-33

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.

Keywords: Fair value; debt capital structure; SFAS 157 (search for similar items in EconPapers)
JEL-codes: G14 G32 M41 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S1094406024500173

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