{"title":"CAPITAL STRUCTURE ANALYSIS – THEORIES AND DETERMINANTS VALIDATION BASED ON EVIDENCE FROM THE CZECH REPUBLIC","authors":"J. Heckenbergerova, Irena Honková","doi":"10.15240/tul/001/2023-1-009","DOIUrl":null,"url":null,"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.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.15240/tul/001/2023-1-009","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.