CAPITAL STRUCTURE ANALYSIS – THEORIES AND DETERMINANTS VALIDATION BASED ON EVIDENCE FROM THE CZECH REPUBLIC

IF 1.4 4区 经济学 Q3 ECONOMICS E & M Ekonomie a Management Pub Date : 2023-03-01 DOI:10.15240/tul/001/2023-1-009
J. Heckenbergerova, Irena Honková
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Abstract

The optimal capital structure is a key precondition for business, even though the task of defining the optimal capital structure can be difficult. Previous studies present many different and mutually contradictory factors that should be considered with respect to managerial strategic financial decisions. The first part of the presented contribution summarises the effects of the most frequent capital structure determinants and reviews the world’s most important theories about the behaviour of enterprises when deciding on capital structure. The aim of our contribution is the analysis of capital structure behaviour in the Czech environment. Fundamental capital structure theory is revealed by statistical hypotheses testing. Moreover, we are mainly targeting significant determinants of capital structure. The results help us to create general recommendations for the financial management of Czech companies. In the scope of our study, there are approximately a thousand national financial statements of Czech companies from the most important sectors of economic activity for the period 2016–2019. The correlation analysis with partial correlation coefficient and multiple linear regression analysis was utilised to determine the effects and significance of the individual determinants. Data show that Czech companies do not prefer debt financing recommended by some capital structure theories. Their financial management behaviour corresponds to pecking order theory with insufficient utilisation of tax shield. Sectorwise analyses prove only one exception; motor vehicles wholesale, retail trade, repair and maintenance sector generally prefers financing by debt. Based on the literature review, we selected six significant determinants of capital structure: size, return on assets (ROA), return on equity (ROE), tangibility, asset growth and duration. Advanced statistical analyses show the power and influence of each determinant on capital structure and their mutual relations. Autocorrelations can negatively affect the results of regression analyses. We can conclude that the capital structure of Czech companies is mainly influenced by tangibility and ROA.
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资本结构分析——基于捷克证据的理论和决定因素验证
最优资本结构是企业的一个关键前提,尽管定义最优资本结构的任务可能很困难。以前的研究提出了许多不同的和相互矛盾的因素,应该考虑到管理战略财务决策。本文的第一部分总结了最常见的资本结构决定因素的影响,并回顾了世界上最重要的关于企业在决定资本结构时行为的理论。我们贡献的目的是分析捷克环境中的资本结构行为。通过统计假设检验揭示了基本资本结构理论。此外,我们主要针对资本结构的重要决定因素。研究结果有助于我们对捷克公司的财务管理提出一般性建议。在我们的研究范围内,有来自2016-2019年期间最重要的经济活动部门的捷克公司的大约一千份国家财务报表。采用偏相关系数的相关分析和多元线性回归分析来确定个体决定因素的影响和显著性。数据显示,捷克企业并不喜欢一些资本结构理论所推荐的债务融资。他们的财务管理行为符合优先顺序理论,没有充分利用税盾。部门分析只证明了一个例外;汽车批发、零售贸易、维修和保养行业普遍倾向于债务融资。基于文献回顾,我们选择了资本结构的六个重要决定因素:规模、资产收益率(ROA)、股本收益率(ROE)、有形性、资产增长和持续时间。先进的统计分析表明,每个决定因素对资本结构及其相互关系的力量和影响。自相关会对回归分析的结果产生负面影响。我们可以得出结论,捷克公司的资本结构主要受有形资产和总资产回报率的影响。
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CiteScore
2.70
自引率
13.30%
发文量
35
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