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    The determinants of capital structure: evidence from Macedonian listed and unlisted companies

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    In this article we analyze factors influencing companies’ leverage. We selected two samples. The first one is from Macedonian non-financial companies registered on Macedonian Stock Exchange covering the period of 2005-2007 and comprised 32 listed companies. The second one is from Mace-donian small and medium businesses covering the period of 2005-2007 and comprised 30 companies. The data used for the empirical analysis were derived from companies’ annual reports. We analyze whether the decision of the companies concerning the leverage is in conformity with the theoretical expectations proclaimed in previous studies and is there any disparity between listed and unlisted companies. Profitability, Tangibility, Size, Growth rate and Non-debt tax shield are used as independ-ent variables, while Leverage is the dependent variable.capital structure, listed companies, unlisted companies

    Firms’ financial performances and economic recession: evidence from Macedonian listed companies

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    The purpose of this paper is to analyze financial performance of 23 firms listed on the Macedonian Stock Exchange. Selected firms are non-financial entities. Analyzed period covers 2011-2015 and is divided into two sub-periods. The first sub-period presents the period in which positive growth rates have been evidenced in the country’s GDP, whereas the second one represents the respectively negative growth rate. Results denoted that, on the overall term, selected financial ratios are, statistically, not significantly different from the sub-periods perspective. But, whereas liquidity has a positive trend, profitability has a negative one. During the economic recession period, there is an emphasized decline of profitability. On the other hand, one year after the recession liquidity significantly increased. This implies that effects of economic recession were reflected in the respective ratios

    Financial performances of Romanian wood industry companies

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    The purpose of this study is to analyze financial performances of 40 selected Romanian companies for the 2009-2013 period. The selected companies operate in the wood industry and we have used panel type data to perform a quantitative analysis. We have found that companies with higher total assets, current assets, average inventory and accounts receivables have higher sales. It seems larger companies with higher total and current assets (especially accounts receivable) are more profitable than their counterparties. Similarly, larger companies with lower current assets, average inventory and accounts receivable have lower assets turnover. Companies with lower average inventory have higher ROA and assets turnover. Larger companies have more total and current assets, net profit, average inventory and accounts receivable than their counterparties, however they seem to display lower assets turnover and current to total assets ratio. Companies with higher current to total assets ratio have higher assets turnover and ROA

    Determinants of Capital Structure: Case of Companies Listed on Zagreb Stock Exchange

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    In this article we sought to analyze some factors influencing companies’ leverage. To examine such factors, we have selected a sample of companies registered on Zagreb Stock Exchange. The sample is from non-financial companies covering the period of 2002-2006 and comprised 89 listed companies. Tangibility, profitability, size, and growth were confirmed as relevant determinants, and only the non-debt tax shield was confirmed as irrelevant determinant in capital structure decisions. Companies’ features as capital origin structure, business industry, and company age were confirmed to play roles in capital structure composition.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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