Journal article
The determinants of corporate cost of debt during a financial crisis
The British accounting review, v 56(6), 101390
01 Nov 2024
Abstract
Panel data from publicly listed US industrial firms is used to investigate how firm-specific cost of debt (COD) determinants impact COD at different quantiles during a financial crisis. Six COD determinants: firm size, firm age, profitability, leverage, liquidity, and firm value, and advanced estimators: robust and bootstrapped fixed effects, bias-corrected least square dummy variable (LSDVC), and quantile regression, are employed within the context of pecking-order theory. The results show that firm size and leverage negatively impact COD, while liquidity positively impacts it when COD is high (90% quantile). The degree of profitability only confirms the pecking order theory when COD is extremely low (10% quantile) and contrasts with the theory for the 25% and above COD quantiles during the Global Financial Crisis (GFC). These findings confirm that the practicalities of access to finance matter during a financial crisis for corporate financing decisions.
•US industrial firms' cost of debt (COD) determinants are studied in the context of pecking order theory.•Robust and bootstrapped fixed effects, LSDVC, and quantile regressions are employed.•Leverage positively affects the COD in the low quantiles and negatively in others.•Profitability and liquidity positively affect COD in the higher quantiles.•The finding for profitability mostly contrasts with expected pecking order theory.
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Details
- Title
- The determinants of corporate cost of debt during a financial crisis
- Creators
- Tauhidul Islam Tanin - Tecnológico de MonterreyAshutosh Sarker - University of AlbertaShawkat Hammoudeh - School of Economics, LeBow College of Business, Drexel University, USAJonathan A. Batten - RMIT University
- Publication Details
- The British accounting review, v 56(6), 101390
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Web of Science ID
- WOS:001327579200001
- Scopus ID
- 2-s2.0-85194179741
- Other Identifier
- 991022202103304721