债务
程式化事实
杠杆(统计)
盈利能力指数
货币经济学
业务
发行人
债券
负债率
成熟度(心理)
粒度
资本结构
内债
资产(计算机安全)
公司财务
金融体系
财务
经济
计算机科学
宏观经济学
发展心理学
计算机安全
心理学
机器学习
操作系统
作者
Jaewon Choi,Dirk Hackbarth,Josef Zechner
标识
DOI:10.1017/s0022109020000149
摘要
Abstract We study whether firms spread out debt-maturity dates, which we call granularity of corporate debt. In our model, firms that are unable to roll over expiring debt need to liquidate assets. If multiple small asset sales are less inefficient than a single large one, it can be optimal to diversify debt rollovers across time. Using a large sample of corporate bond issuers during the 1991–2012 period, we establish novel stylized facts and evidence consistent with our model’s predictions. There is substantial heterogeneity (i.e., firms have both concentrated and dispersed debt structures). Debt maturities are more dispersed for larger and more mature firms and for firms with better investment opportunities, higher leverage, and lower profitability. During the recent financial crisis, firms with valuable investment opportunities implemented more dispersed maturity structures. Finally, firms manage granularity actively and adjust toward target levels.
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