公司债券
债券
信息不对称
业务
信用风险
数字化转型
信用违约掉期指数
价值(数学)
转化(遗传学)
信用评级
经济
计量经济学
金融经济学
信用增级
金融体系
精算学
资信证明
财务
计算机科学
生物化学
化学
机器学习
万维网
基因
作者
Kangqi Jiang,Xin Xie,Yu Xiao,Badar Nadeem Ashraf
标识
DOI:10.1108/cfri-05-2024-0241
摘要
Purpose The main purpose of this study is to examine the effect of corporate digital transformation on bond credit spreads. Additionally, it also explores the two potential channels, information asymmetry and default risk, through which digital transformation can influence bond credit spreads. Design/methodology/approach We use the bond issuance data of Chinese listed companies over the period 2008–2020. Corporate digital transformation of these companies is measured with textual analysis of the management discussion and analysis part of annual reports. We employ a panel regression model to estimate the effect of digital transformation on bond credit spreads. Findings We find robust evidence that companies with higher digital transformation experience lower bond credit spreads. We further observe that credit spread reduction is higher for firms that are smaller, non-state-owned, have lower credit ratings and have less analyst coverage. We also find evidence that digital transformation reduces credit spreads by reducing the information asymmetry between firms and investors with enhanced information transformation mechanisms and lowering corporate default risk by strengthening operating efficiency. Originality/value To the best of our knowledge, this study is the first attempt to understand the impact of corporate digital transformation on bond credit spreads. Our findings help to understand the effect of digital transformation on firms’ credit worthiness and access to capital.
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