Meta-study on relationship between macroeconomic and institutional environment and internal determinants of enterprises’ capital structure

The enterprise capital structure is influenced by internal factors, i.e., the share of fixed assets in total assets, the size and growth of the enterprise, its liquidity and profitability, and the non-debt tax shield. The literature shows that external factors–macroeconomic and institutional specifics of enterprises’ environment may shape the strength and direction of these dependencies. The main aim of this article is to identify the relationship between external factors and the impact of internal determinants on the capital structure. The study includes the meta-analysis of papers which provide information on the relationship between internal factors and the capital structure for 35 countries. The study includes the papers published after 2000 whose research covered the period 1993–2017. A statistically significant relationship between four external factors (inflation, G.D.P. growth rate, G.D.P., index of protection of the creditors and debtors rights) and the strength and direction of the impact of internal factors on the capital structure has been found. In addition, the unambiguously negative impact of two internal factors (liquidity and profitability of the enterprise) on indebtedness was diagnosed. It also reveals that the pecking order theory constitutes a strong theoretical basis for research into the capital structure of enterprises

Kapitał pracujący a płynność finansowa przedsiębiorstw notowanych na Giełdzie Papierów Wartościowych w Warszawie. Wyniki badań

The paper examines the impact of the leverage, working capital, and cash conversion cycle on financial liquidity. For this aim panel analysis based on data from financial statements of 345 companies listed on the Warsaw Stock Exchange in the years 1998–2016 was used. The obtained results indicate that liquidity significantly depends on the debt ratio and the size of net working capital. In the first case, it is a negative relationship, the second one is positive. In the case of impact of the cash conversion cycle on the liquidity, the established dependencies do not allow for the formulation of unambiguous conclusions.W artykule zbadano wpływ zadłużenia przedsiębiorstwa, wielkości kapitału pracującego oraz cyklu konwersji gotówki na płynność finansową. W tym celu wykorzystano analizę panelową opartą na danych ze sprawozdań finansowych 345 spółek notowanych na GPW w Warszawie w latach 1998–2016. Uzyskane wyniki wskazują, że płynność w sposób istotny zależy od stopy zadłużenia oraz wielkości kapitału obrotowego netto. W pierwszym przypadku jest to zależność ujemna, w drugim – dodatnia. W przypadku wpływu na płynność długości cyklu konwersji gotówki ustalone zależności nie pozwalają na sformułowanie jednoznacznych wniosków

Determinanty struktury kapitału przedsiębiorstw notowanych na GPW w Warszawie. Sektor usług

The rules shaping the capital structure are major issues relating to corporate finance. Although, there are many studies, there is no conclusive outcome which theory best explains the behavior of enterprises. The aim of this study is to verify whether company’s capital structure depends on the share of fixed assets in total assets, the size and growth of a company, its profitability, liquidity and size of a non-debt tax shield. The significance of the impact of various factors on the debt of a company was investigated using linear panel models. Data for the analysis come from the financial statements of companies listed on the Warsaw Stock Exchange, belonging to the service sector (sample size: 158), for the years 1998–2012. It was found that the share of the debt in capital structure decreases when share of the tangible assets in total assets, size and profitability of the enterprise grow. The impact of the other factors was not found. It seems that shaping the capital structure of the studied companies is best explained by the pecking order theory.Jednym z istotnych problemów dotyczących finansów przedsiębiorstw są reguły kształtowania struktury kapitału. Mimo wielu badań brak jest jednoznacznego rozstrzygnięcia, która z teorii najlepiej wyjaśnia zachowania przedsiębiorstw. Celem opracowania jest weryfikacja wpływu na strukturę kapitału przedsiębiorstw udziału aktywów trwałych w aktywach ogółem, wielkości i wzrostu przedsiębiorstwa, jego rentowności, płynności i nieodsetkowej tarczy podatkowej. Wpływ ten badano za pomocą liniowych modeli panelowych. Dane do analiz pochodzą ze sprawozdań finansowych spółek notowanych na GPW w Warszawie, należących do sektora usług w latach 1998–2012. Ustalono, że udział długu w strukturze finansowania maleje wraz ze wzrostem udziału aktywów trwałych w aktywach ogółem, wielkości przedsiębiorstwa oraz jego rentowności. Zależność dodatnią stwierdzono dla nieodsetkowej tarczy podatkowej. Wpływ pozostałych czynników był nieistotny. Wynika z tego, że kształtowanie struktury kapitału badanych przedsiębiorstw najlepiej objaśnia teoria hierarchii źródeł finansowania

Only Time Will Tell: Modelling Information Diffusion in Code Review with Time-Varying Hypergraphs

Background: Modern code review is expected to facilitate knowledge sharing: All relevant information, the collective expertise, and meta-information around the code change and its context become evident, transparent, and explicit in the corresponding code review discussion. The discussion participants can leverage this information in the following code reviews; the information diffuses through the communication network that emerges from code review. Traditional time-aggregated graphs fall short in rendering information diffusion as those models ignore the temporal order of the information exchange: Information can only be passed on if it is available in the first place. Aim: This manuscript presents a novel model based on time-varying hypergraphs for rendering information diffusion that overcomes the inherent limitations of traditional, time-aggregated graph-based models. Method: In an in-silico experiment, we simulate an information diffusion within the internal code review at Microsoft and show the empirical impact of time on a key characteristic of information diffusion: the number of reachable participants. Results: Time-aggregation significantly overestimates the paths of information diffusion available in communication networks and, thus, is neither precise nor accurate for modelling and measuring the spread of information within communication networks that emerge from code review. Conclusion: Our model overcomes the inherent limitations of traditional, static or time-aggregated, graph-based communication models and sheds the first light on information diffusion through code review. We believe that our model can serve as a foundation for understanding, measuring, managing, and improving knowledge sharing in code review in particular and information diffusion in software engineering in general.Comment: 10 pages, 6 figure

The correlation of mutations and expressions of genes within the PI3K/Akt/mTOR pathway in breast cancer : a preliminary study

There is an urgent need to seek new molecular biomarkers helpful in diagnosing and treating breast cancer. In this elaboration, we performed a molecular analysis of mutations and expression of genes within the PI3K/Akt/mTOR pathway in patients with ductal breast cancer of various malignancy levels. We recognized significant correlations between the expression levels of the studied genes. We also performed a bioinformatics analysis of the data available on the international database TCGA and compared them with our own research. Studies on mutations and expression of genes were conducted using High-Resolution Melt PCR (HRM-PCR), Allele-Specific-quantitative PCR (ASP-qPCR), Real-Time PCR molecular methods in a group of women with ductal breast cancer. Bioinformatics analysis was carried out using web source Ualcan and bc-GenExMiner. In the studied group of women, it was observed that the prevalence of mutations in the studied PIK3CA and AKT1 genes was 29.63%. It was stated that the average expression level of the PIK3CA, PIK3R1, PTEN genes in the group of breast cancer patients is lower in comparison to the control group, while the average expression level of the AKT1 and mTOR genes in the studied group was higher in comparison to the control group. It was also indicated that in the group of patients with mutations in the area of the PIK3CA and AKT1 genes, the PIK3CA gene expression level is statistically significantly lower than in the group without mutations. According to our knowledge, we demonstrate, for the first time, that there is a very strong positive correlation between the levels of AKT1 and mTOR gene expression in the case of patients with mutations and without mutations

Profitability and working capital management: evidence from the Warsaw Stock Exchange

The aim of this paper is to identify the relationships between measures of working capital management (cash conversion cycle /CCC/, working capital value /WC/ and the financial liquidity /CR/) and profitability of companies listed on the Warsaw Stock Exchange. The research material consisted of data of 326 companies from 1998–2016. The analysis revealed significant non-linear relationship between WC, CR and profitability. When WC and CR values grow, profitability increases, but at a slower pace. However, there is a linear negative relationship between CCC and profitability. The results are influenced by the industry and the GDP growth. This indicates that profit-driven entrepreneurs try to delay payments to suppliers. They pay off bank loans from the funds thus generated. This study contributes to the verification of theories linking profitability with working capital management with emphasis on the influence of the industry. The results have practical implications: companies with growing profitability should not lose sight of the shortening CCC when paying off short-term loans; in some industries decreasing profitability while CR values grow may mean problems with the efficient use of current assets

Determinanty struktury kapitału przedsiębiorstw. Przegląd literatury

Artykuł otwiera serię publikacji poświęconych weryfikacji teorii struktury kapitału w warunkach polskich. Na gruncie przeglądu dotychczasowego dorobku zidentyfikowano i omówiono w nim podstawowe teorie, a także wyodrębniono czynniki mogące mieć wpływ na zmiany w strukturze finansowania przedsiębiorstwa. W efekcie, dla celów dalszych badań sformułowano następującą hipotezę: struktura kapitału przedsiębiorstwa zależy od udziału aktywów trwałych w aktywach ogółem, wielkości i wzrostu przedsiębiorstwa, jego rentowności, płynności i wielkości nieodsetkowej tarczy podatkowej

Capital structure and its determinants in companies originating from two opposite sides of the European Union: Poland and Portugal

The aim of the paper is to identify differences in enterprises’ capital structure and its determinants in Poland and Portugal. The research applies statistical methods to the financial data of 22,775 Polish enterprises and 36,625 Portuguese enterprises for the years 2010–2017. The research results show that: (i) despite several years of ongoing economic integration in the EU differences in enterprises’ capital structure in old and new countries of the community still exist, (ii) in Portugal representing the old EU enterprises are more likely to use debt than in Poland being an emerging EU economy, (iii) in Polish enterprises, tangibility, profitability, liquidity and non-debt tax shield exert a negative impact on debt; while growth and size have a positive impact; in Portugal tangibility and a non-debt tax shield show the opposite, (iv) in both countries industry growth decreases indebtedness of enterprises while financial risk results in higher debt; in addition, in Portugal the capital intensity of industry increases the share of debt in capital structure

Która teoria struktury kapitału wyjaśnia decyzje finansowe małych i średnich przedsiębiorstw? Wyniki badań dotyczących Polski

Small and medium-sized enterprises (SME) play a special role in the modern economy. At the same time, the difficulty in accessing sources of financing is the main barrier limiting the development of this sector. Despite this, studies of the capital structure of SMEs are performed less frequently than among large enterprises. The aim of this paper is to examine which capital structure theory best explains the financial decisions of SMEs in Poland. Additionally, an attempt is made to identify the main firm-specific capital structure determinants. The research material includes financial data from 2,820 SMEs in Poland operating in the 2011–2018 period. Static and dynamic panel models were applied to conduct the analysis. The study found that most SMEs in Poland behave in accordance with the pecking order theory. However, the results of testing the trade-off theory indicate that there may be a group of companies seeking an optimal capital structure according to the assumptions of this theory. The speed of adjustment is about 24%. The study confirmed a positive relationship between SME indebtedness and firm size. The same relationship was found for the growth rate. The opposite direction was identified for tangibility and liquidity.Chociaż utrudniony dostęp do kapitału jest główną barierą rozwoju sektora małych i średnich przedsiębiorstw (MŚP), we współczesnej gospodarce odgrywają one szczególną rolę. Mimo to badania struktury ich kapitału są prowadzone rzadziej niż wśród dużych przedsiębiorstw. Celem artykułu jest zbadanie, która teoria struktury kapitału najlepiej wyjaśnia decyzje finansowe MŚP w Polsce. Dodatkowo podjęto próbę identyfikacji głównych determinant struktury kapitału na poziomie przedsiębiorstwa. Materiał badawczy obejmuje dane finansowe z 2820 MŚP w Polsce działających w latach 2011–2018. Do przeprowadzenia analizy wykorzystano statyczne i dynamiczne modele panelowe. Badanie wykazało, że większość MŚP w Polsce zachowuje się zgodnie z teorią hierarchii źródeł finansowania. Wyniki testowania teorii substytucji wskazują jednak, że może istnieć grupa firm poszukujących optymalnej struktury kapitału zgodnie z założeniami tej teorii. Szybkość dostosowań do docelowej struktury kapitału wynosi ok. 24%. Badanie potwierdziło dodatnią zależność między zadłużeniem MŚP a wielkością przedsiębiorstwa. Ten sam kierunek zależności stwierdzono w przypadku tempa jego wzrostu. Przeciwny kierunek zidentyfikowano dla udziału aktywów trwałych w aktywach ogółem oraz płynności finansowej