Leverage strategies of Indian telecom sector: a dynamic panel data approach

IF 0.8 Q4 DEVELOPMENT STUDIES Indian Growth and Development Review Pub Date : 2022-03-09 DOI:10.1108/igdr-03-2021-0045
T. Khan, Mohd Shamim, Mohammad Azeem Khan
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引用次数: 3

Abstract

Purpose The purpose of this paper is to examine the optimal leverage ratio, speed of adjustment, and which factors contribute to achieving the target of selected telecom companies in a partial adjustment framework from 2008 to 2017. Further is to analyze the likelihood of bankruptcy of sample companies by Altman Z-Score model and to suggest which theory of capitals structure is better in explaining leverage strategies and judicious mix of debt and equity structure of the selected telecom companies. Design/methodology/approach This paper chooses a partial adjustment model and uses the generalized method of moments technique to identify the variables that influence the target leverage ratio and the factors that influence the speed at which the target leverage is adjusted. Second, the Altman Z-score model is used in this paper to research the financial status of telecom companies using financial instruments and techniques. Findings For Indian telecom firms, firm-specific variables such as profitability, NDTS and Z-score lead to greater debt adjustment towards optimal level target leverage. The paper also highlights new paradigms in the Indian telecom sector, stating that top market leaders such as Bharti Airtel, BSNL, Idea, Vodafone and R.com, among others, should focus on debt reduction and interest payments, as well as implement new strategies to solve the crisis and change financial policies. Research limitations/implications It mainly focuses on firm-specific variables because the firm-specific variables affect the leverage framework. The country-specific variables are not taken into the study. These results may be unique to telecom companies due to some peculiarities existing in the telecom sector in India. Although other sectors, both national and international level, can be taken into consideration. Practical implications This paper has ramifications for corporate executives, investors and policymakers in India, for example, in terms of considering different transition costs while changing a telecom company’s financing decisions. Originality/value To the best of the authors’ knowledge, this is the first paper of its kind to look at both financial and econometric tools to assess financial performance using the Altman Z-Score model, as well as decide leverage strategies and the pace with which they can be adjusted to target leverage in the context of Indian telecom companies.
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印度电信业的杠杆策略:一种动态面板数据方法
目的研究2008 - 2017年部分调整框架下电信企业的最优杠杆率、调整速度以及哪些因素有助于实现目标。进一步通过Altman Z-Score模型分析样本公司破产的可能性,并提出哪种资本结构理论更能解释所选电信公司的杠杆策略和债务与股权结构的明智组合。设计/方法/方法本文选择部分调整模型,利用广义矩量法技术识别影响目标杠杆率的变量和影响目标杠杆调整速度的因素。其次,本文运用Altman Z-score模型,运用金融工具和技术对电信企业的财务状况进行研究。对于印度电信公司,公司特定的变量,如盈利能力,NDTS和Z-score导致更大的债务调整,以达到最优水平的目标杠杆。该文件还强调了印度电信行业的新范式,指出诸如Bharti Airtel, BSNL, Idea,沃达丰和R.com等顶级市场领导者应该专注于减少债务和利息支付,以及实施新的战略来解决危机和改变金融政策。研究局限/启示主要关注公司特定变量,因为公司特定变量影响杠杆框架。具体国家的变量没有被纳入研究。由于印度电信行业存在一些特殊性,这些结果可能是电信公司所独有的。虽然可以考虑到国家和国际一级的其他部门。本文对印度的企业高管、投资者和政策制定者有影响,例如,在改变电信公司融资决策时考虑不同的过渡成本。原创性/价值据作者所知,这是同类论文中第一篇使用Altman Z-Score模型来评估财务绩效的金融和计量经济学工具,以及决定杠杆策略和调整杠杆的速度,以适应印度电信公司的目标杠杆。
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CiteScore
2.80
自引率
0.00%
发文量
7
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