亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The dynamic trade-off theory of capital structure: evidence from a panel of US industrial companies

杠杆(统计) 资本结构 面板数据 独创性 经济 债务 计量经济学 负债率 广义矩量法 实证研究 货币经济学 宏观经济学 计算机科学 数学 机器学习 统计 政治学 法学 创造力
作者
Ridha Esghaier
出处
期刊:Studies in Economics and Finance [Emerald (MCB UP)]
卷期号:41 (4): 902-922 被引量:3
标识
DOI:10.1108/sef-04-2023-0200
摘要

Purpose This paper aims to test the empirical validity of the dynamic trade-off theory in its symmetric and asymmetric versions in explaining the capital structure of a panel of publicly listed US industrial firms over the period from 2013 to 2019. It analyzes the existence of an adjustment of leverage toward its target level and whether the speed of this adjustment is influenced by the debt measure, the model specification or/and the fact that the actual debt ratio is higher or lower than its long-term target level. Design/methodology/approach This paper uses a quantitative research methodology using panel data analysis under the partial adjustment model and the error correction model using the generalized moment method in first differences and in systems to explore the dynamic nature of firms’ capital structure behavior. Findings The results show that the effects of the conventional determinants of leverage are globally consistent with the trade-off theory predictions. The dynamic versions confirm that firms exhibit leverage-targeting behavior. Although this speed of adjustment (SOA) depends on the debt and model specifications, it is around 60% on average. The estimated SOA is higher for the market leverage measure compared to the book leverage. The asymmetric adjustment model reveals that firms are more sensitive to reducing leverage than increasing it when they are away from their target; overleveraged firms exhibit approximately 5% faster adjustment than underleveraged firms when book leverage is used. Originality/value The originality of this research paper lies in its development and test of an asymmetric model to allow the leverage adjustment speed to vary depending on whether the firm’s debt ratio is above or below its target level and the methodological approach as well as the different model specifications used and the insights generated through the application of rigorous econometric techniques.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汉堡包应助醉熏的井采纳,获得10
35秒前
attention完成签到,获得积分10
36秒前
45秒前
46秒前
NanziLiu完成签到 ,获得积分10
47秒前
彭于晏应助快乐电灯胆采纳,获得10
48秒前
48秒前
醉熏的井发布了新的文献求助10
49秒前
53秒前
快乐电灯胆完成签到,获得积分10
54秒前
Humorous发布了新的文献求助10
55秒前
月落无痕97完成签到 ,获得积分0
57秒前
Humorous完成签到,获得积分10
1分钟前
1分钟前
婷123完成签到 ,获得积分10
1分钟前
z123发布了新的文献求助10
1分钟前
mmyhn完成签到,获得积分10
1分钟前
Ava应助QDL采纳,获得10
1分钟前
哈哈发布了新的文献求助10
1分钟前
1分钟前
万能图书馆应助醉熏的井采纳,获得10
1分钟前
小艾完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
何小明发布了新的文献求助10
1分钟前
斯文的白玉完成签到,获得积分10
1分钟前
旧残月发布了新的文献求助10
1分钟前
1分钟前
Chen完成签到 ,获得积分10
1分钟前
醉熏的井发布了新的文献求助10
1分钟前
斯文败类应助科研通管家采纳,获得10
1分钟前
Akim应助科研通管家采纳,获得10
1分钟前
2分钟前
2分钟前
橘橘橘子皮完成签到 ,获得积分10
2分钟前
糖糖完成签到 ,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6020949
求助须知:如何正确求助?哪些是违规求助? 7625062
关于积分的说明 16165886
捐赠科研通 5168707
什么是DOI,文献DOI怎么找? 2766140
邀请新用户注册赠送积分活动 1748643
关于科研通互助平台的介绍 1636196