scholarly journals Bank crediting to the sector of non-financial corporations in Ukraine

2019 ◽  
Vol 14 (3) ◽  
pp. 64-75 ◽  
Author(s):  
Yuliia Verheliuk ◽  
Yuliia Koverninska ◽  
Vladimir Korneev ◽  
Alexey Kononets

The importance of studying the bank crediting (lending) to non-financial corporations in Ukraine is due to the recent increase in borrowing costs and a low credit supply from banks. This article defines certain parameters, which could help to allocate the limited credit recourses to meet current macroeconomic challenges. The main purpose of the article is to discuss and substantiate the choice of these parameters. The study is focused on the systematic approach and statistical methods to achieve the research goals.Quantitative parameters of bank lending to non-financial corporations were analyzed through the prism of macroeconomic indicators. In particular, the analysis was conducted on the following parameters of bank lending to non-financial corporations: share of bank loans to non-financial corporations in GDP, volume of loans by type of economic activity, sectoral shares of non-financial corporations in creating gross economic value added, interest rates on loans to non-financial corporations, etc.It is defined that the share of bank lending to non-financial corporations in GDP is currently low and gradually decreasing. The analysis of the volume of lending by types of economic activities, by the size of borrowers and the respective sectoral shares of non-financial corporations in creation of gross value added showed disproportionate distribution of credit resources by economic returns. The calculation and analysis of the localization and concentration coefficients allowed to identify current problems in crediting of Ukrainian businesses. The interest rates on loans to non-financial corporations remain high, which often makes bank credits inaccessible for them, especially considering the low level of profitability of Ukrainian enterprises.

Author(s):  
Yaroslav Chaikovskyi

The article considers bank lending to corporate clients in Ukraine overcoming the issues related to economic cycles. The dynamics of gross domestic product, total assets, and credit portfolios of Ukraine’s banks over the period between 2012 and 2016 is analyzed. The changes in the composition of bank loans to non-financial corporations are analyzed in terms of scheduled payments, forms of currencies, target allocation and economic activities. Additionally, the dynamics and composition of residents’ deposits mobilized by deposit-taking corporations are considered in terms of scheduled payments over the above period. The major factors that hinder the recovery of bank lending to corporate clients are identified. It is highlighted that the main obstacles to the development of banking lending to corporate clients in Ukraine in times of economic cycles are as follows: high interest rates; a significant percentage of unprofitable enterprises and loan arrears in bank loan portfolios; an increase of non-performing loans (NPL); the fact that banks, having sufficient liquidity for lending to economy-boosting projects, prefer to purchase government securities; corrupt practices of granting loans to affiliated companies (insider loans). The percentage of unprofitable enterprises in Ukraine in 2016 is determined and analyzed by type of economic activity. Based on the analysis performed, some assumptions are made about the trends of the development of bank lending to corporate clients in Ukraine and proposals on further harmonization of bank lending to corporate clients in times of economic cycles are set out.


2019 ◽  
Author(s):  
Afriyeni Afriyeni ◽  
jhon fernos

Property sector companies whose shares are traded on the Indonesia Stock Exchange (IDX) has a period of booming growth dynamics of a property crash period when the economic crisis. Economic Value Added (EVA) valuing the company economically while assessing the company's stock price is the market. Four determinant factors in the EVA model framework: profitability (ROA), capital structure (debt ratio), beta stocks and interest rates; investigated its effect on EVA and its implications for stock price movement. Testing hypotheses through stages: (i) the design of the model-path (path analytical model), (ii) parameter estimation, (iii) analysis of the model, and (iv) model evaluation. Estimation models with SPSS ver ver 10:05 and 8:51 LISREL. The results are: (i) EVA influenced by, from the most dominant, ROA profitability levels, interest rates, debt ratio, and beta stocks (R2 = 95%). ROA has a positive effect, interest rate and debt ratio negatively, whereas no significant effect of beta stocks (balance); (ii) The movement of stock prices are influenced by, from the most dominant, beta stocks, interest rates, ROA, and the debt ratio (R2 = 20%). ROA beta and positive influence, a negative influence interest rates, whereas the effect of debt ratio balance; (iii) If the ROA rose one standard unit, precision EVA rose 0.98 units and the stock price rose 0.20 units, if the interest rates go down one unit, EVA rose by 0.10, the stock price rose 0.25 units; if debt ratio down one unit, EVA rose 0.06 units, but does not cause a change in the stock price; when beta stocks rose one-unit standard, EVA has not changed but the stock price will rise by 0:37 units, ceteris paribus. Single regression analysis model EVA exogenous to the movement of stock prices show that the company's share price movements in the property sector IDX very little influenced by variations in EVA (4.7%), the stock price will rise by 0:22 dipresisikan if EVA unit up one unit, ceteris paribus.


2017 ◽  
Vol 12 (10) ◽  
pp. 132 ◽  
Author(s):  
Mohammad Abdel Mohsen Al-Afeef

This study aims to determine the effect of EVA and ROI and which is better able to explain the change in Stock market’s value in the companies listed in (ASE) (2006-2015), the researcher addresses a random sample consisting of (46) Company, and uses regression model, which connects the dependent and independent variables.The results of the study shows that the return on investment (ROI) is better than (EVA) to interpret the changes in Stock market’s value, where the coefficient of determination (R2) for the ROI is (22.5%), while the R2 for EVA Only 1.3%.This study also recommends the need to look for additional factors that would explain the changes in stock market's value such as: the degree of leverage, systemic risks, and macroeconomic indicators such as: (interest rates and inflation).


2011 ◽  
Vol 3 (2) ◽  
pp. 1-19
Author(s):  
Chermian Eforis ◽  
Rosita Suryaningsih

This study aims to determine the influence of the level of CSR disclosure in annual report to corporate values that proxies with Economic Value Added (EVA) and Market Value Added (MVA).   The objects of this study are companies that were included in Kompas 100 Edition of the second review in 2010.The chosen model of this research is simple regression which can be defined as a model that used the normal probability plot  for data normality test, DurbinWatson test for autocorrelation, graph plots to test heteroscedasticity, and saw the value of tolerance and VIF for multicollinearity test. Hypothesis is analyzed using simple regression method  The results showed that the level of CSR disclosure contained in the annual report has a significant influence on the EVA. The same results were also found on the MVA, where the level of CSR disclosure contained in the annual report has a significant influence on the MVA. Key words: Corporate Social Responsibility, Economic Value Added, Market Value Added


Author(s):  
Dwi Urip Wardoyo

This study aims to compare financial performance through profitability generated by two market participants in the witness transportation service industry in Jakarta, namely PT. BB compared to PT. ETU, this assessment is measured not limited to the profit generated but more than that by measuring financial added value through the concept of Eonomic Value Added produced by the two companies. The population in this study were all taxi transportation service companies in Jakarta. The sampling method selected two taxi companies that have the largest market share in DKI Jakarta, namely BB Taxi and ETU Taxi. The test analysis used in this study is ratio analysis through profit calculation and economic added value from the annual income statement. This study shows that there are (a) determination of the ratio of profit levels, (b) Determination of the comparison of economic value added of the two companies. Keywords :  Financial performance, Economic Value Added (EVA)


2014 ◽  
Vol 5 (10) ◽  
pp. 93
Author(s):  
Andrés Villegas Cortés ◽  
Luz Ángela Rojas La Rota

El presente trabajo busca determinar si la fusión de las empresas Carulla-Vivero ocurrida en el año 2000 generó valor. Para esto, se estudia el conceptode valor, posteriormente se explica el estudio de caso como metodología deinvestigación para concluir con la exposición del caso mismo de la fusión, ysu resultado. Una vez realizado el análisis de las dos empresas, se hace unacomparación y una valoración por dos metodologías ampliamente aceptadas:los métodos Economic Value Added (EVA) - Weighted Average Cost of Capital(WACC) y Flujo de Caja Histórico, con lo cual se explora en su interior la fusióny se explican los resultados obtenidos en ella. Finalmente, se hace una seriede observaciones, conclusiones y recomendaciones sobre la fusión, asícomo de la metodología del estudio de caso, para el abordaje de temas de laadministración.


2021 ◽  
Vol 13 (6) ◽  
pp. 3075
Author(s):  
Miguel Ángel Martín Valmayor ◽  
Beatriz Duarte Monedero ◽  
Luis A. Gil-Alana

In this paper, we examine the concept of the social balance sheet (SBS) and its evolution in corporate social reports that large companies have to issue today in their yearly statements. The SBS allows companies to evaluate their compliance with corporate social responsibility during a specific period and quantify its level of accomplishment. From a methodological perspective, this research analyzed the information that should be contained in the SBS report comparing economic value added (EVA) with other social value added statements (SVA), analyzing also in detail the case of Spain’s Banco Bilbao Vizcaya Argentaria (BBVA) bank as one of the pioneers in offering social reports. Along with this study, their metrics following EVA were recalculated and a more academic SVA statement was proposed for this specific case.


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