Research background: Indebtedness indicators are used to monitor the structure of corporate financial resources. The company's share of its own and foreign resources affects the financial stability of the company. A high share of own re-sources makes the company stable, and independent. With a low share, on the contrary, the company is unstable, market fluctuations and credit uncertainty can have serious consequences. However, foreign capital is cheaper, and too high indebtedness ratios can jeopardize the existence of enterprises. Purpose of the article: In general, the economic recession worsens the capital structure of enterprises, especially their debt management. Thus, the paper aims to apply the set of 13 indebtedness ratios to a sample of 779 Slovak and Czech enterprises from the construction sector to determine key microeconomic determinants that may influence the level of indebtedness. Methods: A non-parametric one-way analysis of variance ? the Kruskal-Wallis test ? was used to determine whether the set of indebtedness ratios is the same across countries, districts, and sizes. For analyzing the specific sample pair of stochastic dominance, the pairwise comparison was realized using the Dunn'stest with Bonferonni correction. The Mann-Whitney test was used to compare the differences in the set of indebtedness ratios between two independent groups of enterprises, based on their legal form and country. Findings & value added: The level of total indebtedness ratio and the self-financing ratio depends on the region as well as on the size of the enterprise and the legal form. In the case of credit indebtedness and debt-to-cash-flow indebted-ness, their dependence on the size of the enterprise and the legal form is obvious. The importance of the region and the legal form of enterprises, vice versa, affect the level of the financial independence ratio. These outputs are relevant for au-thorities, policy makers, or financial institutions to identify financial constraints that construction enterprises face and, as a result, make a long-term contribution to theory in this field.
Various models have been created all around the world to identify enterprises that manipulate their earnings. These earnings management techniques aid businesses in enhancing their financial performance or gaining some competitive advantages. The primary goal of this article was to identify the firm-specific characteristics that affect how businesses manage their earnings using a sample of 15,716 businesses from various economic sectors in the Slovak environment during a 3 year period. The level of earnings management was measured by discretionary accruals using the Kasznik model. In this paper, a correspondence analysis using the chi-square distance measure was applied to find the dependence between the earnings management practices and firm-specific features (firm size, legal form, and sectoral classification). The results of the study indicate that aggressive (income-increasing) earnings management practices are typical of small enterprises with a public limited ownership structure, mostly in sectors R and M (using the NACE sectoral classification). Conservative (income decreasing) practices can be observed in enterprises in the sectors J or F, and they are also used by medium-sized enterprises and those with private limited ownership structure. The results revealed that large enterprises do not tend to manipulate their earnings, as well as enterprises operating in sector K. The insights of this study may provide important and useful information for shareholders and regulators in evaluating determinants that are effective in mitigating earnings management practices. Authorities, regulators, analysts, and auditors may find the importance of the discovered variances helpful in identifying various strategies and techniques for earnings manipulation that may differ among industries according to their typical characteristics.
Debt financing is related to borrowing funds from enterprises and investors through bonds, banks, or financial institutions. Interest in debt financing has been rapidly growing in recent years and is now considered one of the most common ways an enterprise can increase its capital to run its business. However, the use of a large amount of debt is associated with the management of corporate indebtedness, requiring the tracking of the entire financial performance of the company. The chief objective of this study was to determine and assess the indebtedness level of enterprises operating in the Slovak Republic using 12 crucial debt ratios and then to clarify whether there are statistically relevant dissimilarities in corporate debt as a result of the firm size and its legal form, representing relevant company-specific features having an impact on corporate indebtedness. Subsequently, a more elaborate analysis addressing statistically relevant dissimilarities between separate indebtedness ratios in relation to the size of the company and its legal form was carried out by deploying the nonparametric Kruskal–Wallis test. We leveraged the Bonferroni correction to specify where stochastic ascendancy occurs. The Kruskal–Wallis test result revealed statistically significant dissimilarities in the values of debt ratios as a result of the firm size and the legal form of the company, which confirmed previous results indicating the most relevant determinants shaping corporate debt. Recognizing the repercussions of firm size and legal form on the corporate debt policy plays an important role, as these company-specific features may be perceived as proxies for the default likelihood or for the volatility of corporate assets, making the regulatory process of creditors and stakeholders straightforward. The findings confirmed the theories of numerous researchers who claimed that firm size and legal form are critical aspects of corporate debt.
Research background: Debt is considered a normal part of enterprises these days. If enterprises do not have enough equity, they will start to use a large amount of debt which is mainly associated with indebtedness. Rising indebtedness can be a difficult financial situation for business entities in the form of default and inability to meet their liabilities. Purpose: The main aim of this paper is to perform a debt analysis of enterprises operating in sectors that are considered leading in the conditions of Slovakia, such as the manufacturing and construction sector, and subsequently, to examine whether the size of the enterprise has a significant impact on selected indebtedness ratios. Research methodology: Firstly, the debt analysis was performed using the six selected indebtedness indicators on a sample of 846 enterprises. Secondly, a more detailed analysis, focused on examining the existence of statistically significant differences between individual indebtedness ratios concerning the size of the enterprise, was realized using the non-parametric Kruskal-Wallis test. At the end of the research, the Bonferroni corrections were used to identify where the stochastic dominance occurred. Results: The impact of the enterprise’s size on the calculated indebtedness indicators is confirmed by the results of ANOVA, based on which it can be argued that statistically significant differences between the calculated indebtedness indicators exist between large and small enterprises, as well as an inequality of medians between large and medium-sized enterprises. As a result, the median values of the debt ratios of small and medium-sized enterprises are the same. Novelty: The contribution of this paper is a new feature of the application of debt analysis for the evaluation of corporate performance. There are only a few papers in Slovakia that focus in detail on an analysis of the indebtedness of individual enterprises and with an examination of the determinants that affect this indebtedness, which is, however, an added value of our contribution.
The corona crisis has affected not only the economic sphere, but also the sphere of health, health care, employment, safety, and health protection in the workplace, shopping habits, and future expectations, to which people adapt their decisions in various areas of daily life. The COVID-19 pandemic, called a global health crisis, was an unpredictable risk of global proportions that paralyzed the entire world. The main aim of this paper is to quantify the impacts of the COVID-19 pandemic on the construction sector, which is considered a crucial sector of the Slovak economy, to evaluate changes in the development of key indicators using adequate quantitative methods. First, a sample of 2000 businesses were analyzed using the 12 financial indicators that were chosen. Second, using the non-parametric Friedman test, a more thorough study was carried out with a focus on analyzing the existence of statistically significant variations in the values of computed indicators as a result of changes in the development of key financial ratios. The Bonferroni adjustments were employed to pinpoint the areas of stochastic dominance at the conclusion of the study. A detailed analysis of the calculated financial indicators showed that the arrival of the pandemic had a negative impact on many aspects of business in the construction sector and affected the financial and economic situation of companies in the construction sector of the Slovak Republic. However, due to the fact that this sector is characterized by slower reactions to changes in the economy, the most significant impacts will be even more noticeable in the future.
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