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Determinants of Target Capital Structure and Adjustment Speed: Evidence from India

机译:目标资本结构的决定因素和调整速度:来自印度的证据

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This paper analyses the adjustment speed of the firm to achieve target leverage. The study further extends the empirical work to diagnose the factors that significantly impact its capital structure. The study consists of 132 Indian non-financial firms listed in the National Stock Exchange for the period 1998-2018. A static panel model and dynamic two-step GMM model has been used to make a comparative analysis and select the best model. The results of the study claim that the adjustment speed is 44 percent per annum, yielding a half-life of 1.18 years. Further, the study reveals that profitability, tangibility, and GDP growth are significantly related to leverage in the dynamic model. In the static model, besides profitability, tangibility, and GDP Growth, its uniqueness, growth, and age also significantly impact leverage. In the study, the R square appears to be 0.34, and the determinants, namely, profitability, growth uniqueness, and age, follow pecking order theory, and size, tangibility, liquidity, GDP Growth, and inflation follow trade-off theory. The comparative statement results reveal that the dynamic model is more realistic, considering the adjustment cost. This paper can be further improved by incorporating human resource factors and their impact on its leverage.
机译:本文分析了公司的调整速度,实现了目标杠杆。该研究进一步扩展了实证工作,以诊断显着影响其资本结构的因素。该研究由1998 - 2018年期间的国家证券交易所上市的132家印度非金融公司组成。已经使用静态面板模型和动态两步GMM模型来进行比较分析并选择最佳模型。研究结果要求调整速度为每年44%,产生1.18年的半衰期。此外,该研究表明,盈利能力,变形和GDP增长与动态模型中的杠杆有关。在静态模型中,除了盈利,变形和GDP增长,其独特性,增长和年龄也显着影响杠杆。在该研究中,R方案似乎为0.34,即决定因素,即盈利能力,增长唯一性和年龄,遵循啄食命令理论,以及尺寸,变形,流动性,GDP增长和通货膨胀遵循权衡理论。比较陈述结果表明,考虑调整成本,动态模型更加现实。通过纳入人力资源因素及其对其杠杆的影响,可以进一步提高本文。

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