scholarly journals Credit Absorption Capacity of Businesses in the Construction Sector of the Czech Republic—Analysis Based on the Difference in Values of EVA Entity and EVA Equity

2020 ◽  
Vol 12 (21) ◽  
pp. 9078
Author(s):  
Jakub Horak ◽  
Petr Suler ◽  
Jaroslav Kollmann ◽  
Jan Marecek
Keyword(s):  
Czech Republic ◽  
Economic Value ◽  
Weighted Average ◽  
Value Added ◽  
Absorption Capacity ◽  
Economic Value Added ◽  
Investment Climate ◽  
Construction Sector ◽  
The Czech Republic ◽  
The Difference

The contribution deals with the economic value added and its influence on credit absorption capacity. The aim was to determine the significance of the difference between the economic value added (EVA) entity and EVA equity indicators on credit absorption by the construction sector in the Czech Republic. The data came from the Albertina database of Bisnode Czech Republic for the period 2012–2018; small and medium-sized enterprises, in particular, were selected. The most important factor for calculating the amount of credit absorption depends on the EVA entity indicator and the weighted average cost of capital. The calculations produced negative values for credit absorption, which reflects an unattractive investment climate for business owners and their creditors. In other words, loans sought by enterprises in the Czech construction sector do not lead to a greater degree of realization of their goals, i.e., an increase in value for shareholders.

scholarly journals The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic

2020 ◽  
Vol 11 (2) ◽  
pp. 325-346 ◽  
Author(s):  
Jaromír Vrbka
Keyword(s):  
Neural Networks ◽  
Czech Republic ◽  
Rural Areas ◽  
Economic Value ◽  
Value Added ◽  
Value Drivers ◽  
Data Set ◽  
The Czech Republic ◽  
The Difference ◽  
A Company

Research background: In the past, the main objective of a company was to generate sufficient profit. Nowadays, a company must seek to achieve much broader objectives. To be successful in this pursuit, it must not only measure financial performance, but also monitor internal and external developments, increase shareholders’ wealth and protect the interests of other stakeholders, i.e. to analyze and act on those factors that affect company value. Purpose of the article: The objective of the contribution is to determine through the use of artificial neural networks the relationship between business value drivers, or value based drivers (VBD), and EVA Equity, which is economic value added (EVA), of small and medium-sized enterprises operating in the rural areas of the Czech Republic. Methods: The data was obtained from the Bisnode´s Albertina database. The data set consists of the profit and loss accounts for 2013 to 2017 of small and medium-sized enterprises operating in rural areas of the Czech Republic. Two scenarios are analyzed. In the first, the independent variables are only the value drivers, whereas in the second, company location (region) is included. The objective is to find the dependence of EVA Equity on individual VBD and company location. A sensitivity analysis is conducted, on the basis of which the importance of individual value drivers and company location is determined. Findings & Value added: The output is a set of value drivers, which could be used by company managers to regulate the growth of EVA Equity, i.e. value for shareholders. The findings reveal that the difference between successful and unsuccessful companies is determined by the level of involvement of human capital; companies use a large number of substitutes for factors of production, whereby the involvement of borrowed capital is likely to cause a positive financial leverage effect.

scholarly journals Analysis of competitiveness and economic profit of the confectionary sector in Kazakhstan and its comparison with Czech Republic data

2021 ◽  
pp. 1-30
Author(s):  
Petr Hájek ◽  
Eva Kaňková ◽  
Gulnar Zhunissova
Keyword(s):  
Czech Republic ◽  
Financial Performance ◽  
Food Industry ◽  
Economic Value ◽  
Value Added ◽  
Economic Value Added ◽  
Z Score ◽  
The Czech Republic ◽  
Economic Profit ◽  
Communist Countries

Measuring competitiveness in post-communist countries in Central Asia is challenging. Many well-known metrics fail to warn bankruptcy risks sufficiently early or at all. This study uses metrics of the Altman z-score, Taffler z-score, IN99, IN01, IN05, and creditworthiness models to assess bankruptcy likelihood and financial performance of local and foreign confectionery companies operating in Kazakhstan during 2007-2018. These companies are Roshen, KDV Yaskino, Konti, Rakhat, and Bayan Sulu. The IN bankruptcy and creditworthiness models are considered in this study because they are found to be more appropriate for post-communist countries. Compared to the well known Altman or Taffler z-score models, they better suit the events and corporate situations peculiar to these countries. The benchmarking INFA system, involving a pyramidal approach developed for Czech companies, provides the economic-value-added (EVA) and component indicators to analyze competitiveness. This study also compares the performance of Kazakhstan companies with Nestlé Czechia and the Czech food industry. The objective is to analyze company competitiveness, bankruptcy probability, and ability to create value. Results show the effectiveness of INFA in analyzing competitiveness and the applicability of IN models to companies from Kazakhstan, Russia, Ukraine, and the Czech Republic.

LA FUSIÓN CARULLA-VIVERO, ¿CREÓ VALOR?

2014 ◽  
Vol 5 (10) ◽  
pp. 93
Author(s):  
Andrés Villegas Cortés ◽  
Luz Ángela Rojas La Rota
Keyword(s):  
Average Cost ◽  
Cost Of Capital ◽  
Economic Value ◽  
Weighted Average ◽  
Value Added ◽  
Economic Value Added ◽  
Estudio De Caso

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.

scholarly journals Sensitivity analysis of Economic Value Added as a dominant indicator of concept of economic profit

2021 ◽  
Vol 129 ◽  
pp. 03014
Author(s):  
Dusan Karpac ◽  
Viera Bartosova
Keyword(s):  
Sensitivity Analysis ◽  
Economic Value ◽  
Value Added ◽  
Economic Value Added ◽  
Financial Status ◽  
Economic Profit ◽  
Methods Of Synthesis ◽  
The Difference ◽  
Individual Variables ◽  
The Impact

Research background: The modern goal of enterprises, value creation, is achieved through the concept of economic profit. Profit, as part of profit or loss, is one of the most important flows, pointing to how efficiently corporate capital is used in an entity (Coatney & Poliak, 2020). The article deals with the difference between accounting and economic profit, the selected form of economic profit - the EVA indicator. The economic value added (EVA) indicator is one of the best-known modern indicators of a company's performance (Siekelova et al., 2019). It shows whether the given entity increases its value or only earns for its economic survival. The benefit of this indicator is the valuation of equity and taking into account the risk. It is difficult to express the economic profit itself, therefore the article also addresses the issue of its calculation (Shah et al., 2016). The company needs to know its financial status and the direction it is heading, so we decided to calculate a selected form of economic profit. Purpose of the article: The company needs to know its financial status and the direction it is heading, so we decided to calculate a selected form of economic profit. When expressing the value of the economic value added indicator, it is also important to know the items and components of the calculation that have the strongest meaning and effect on the possible amount of the indicator. Given this, we decided to use a sensitivity analysis, which points to the effect of individual variables that participate in the construction of the EVA calculation. Methods: In this work, the methods of induction, deduction, and comparison were used to obtain a true picture of the subject issue. Methods of synthesis and analysis of the researched issues were also used. Findings & Value added: In the paper there is pointed out the intensity of the impact of individual variables that entered into the calculation of the economic value added indicator as a dominant indicator of concept of economic profit.

Financial Behaviour in a Mandatory Conversion Process: Empirical Evidence from Colombia

2020 ◽  
pp. 097215092096400
Author(s):  
Juan David González-Ruiz ◽  
Maria Isabel Acosta-García ◽  
Ramón Villa-García
Keyword(s):  
Economic Value ◽  
Weighted Average ◽  
Value Added ◽  
Convertible Bonds ◽  
Economic Value Added ◽  
Operating Profit ◽  
Financing Costs ◽  
Financial Behaviour ◽  
A Company

Convertible bonds are attractive because they offer alternatives for both issuers and investors. Therefore, several companies have used this financial mechanism to raise capital. Although several studies have been published on this topic, mandatory convertible bonds (MCBs), which are subsets of convertible bonds, and their effect on economic value added (EVA) have not been explored deeply. This study analyses what happens to the EVA before, during and after the issuance when investors are involved as shareholders of a company issuing MCBs. A Colombian company is used as a case study. The results reveal that one of the main reasons behind the change in the EVA is not only the weighted average cost of capital or the invested capital but also the operating profit. The net operating profit after tax (NOPAT) depends on operating profit. Therefore, to generate a positive EVA, the NOPAT margin needs to be higher than the margin of financing costs.

scholarly journals Analyzing Islamic Micro Finance Performance with Economic Value Added (EVA): Learning from Baitul Wat Tamwil (BMT) Usaha Gabungan Terpadu Sidogiri Indonesia

2014 ◽  
Vol 2 (2) ◽  
pp. 29
Author(s):  
Titik Inayati ◽  
Bambang Subroto ◽  
Achmad Fachan ◽  
Atim Djazuli
Keyword(s):  
Financial Performance ◽  
Average Cost ◽  
Cost Of Capital ◽  
Economic Value ◽  
Weighted Average ◽  
Value Added ◽  
Economic Value Added ◽  
The Real ◽  
Operating Profit

Analyzing Islamic Micro Finance Performance with Economic Value Added (EVA). EVA analysis is used for deciding the regulations of investment of BMT. Monetary report is analyzed with  EVA, Net Operating Profit After Tax (NOPAT), Weighted Average Cost of Capital (WACC), and Invested Capital. The result of performance using EVA shows that BMT can create value. NOPAT underwent a significant increase compare with the capital fund. The profit that is created is higher than accounting profit which shows that BMT has a very good performance. The capital which is consists of debt and equity has been used efficiently and effectively so that it can increase the profit. The BMT officer should pay attention to the financial performance in order to decide the regulation and investment that will be done. Investment and activity which is done by BMT should be resulted more value so that it can give the real profit for the development of BMT.

scholarly journals Economic Value-Added Creation by Optimizing Capital Structure in Project Finance

2020 ◽  
Vol 3 (2) ◽  
pp. 46-60
Author(s):  
Bryan Charisma ◽  
Encep Amir
Keyword(s):  
Capital Structure ◽  
Economic Value ◽  
Balance Sheet ◽  
Weighted Average ◽  
Value Added ◽  
Project Finance ◽  
Economic Value Added ◽  
Operating Profit ◽  
Debt Repayment ◽  
Physical Asset

Infrastructure Projects are large investment by the public and/or private sector that required enormous financial resource commitment to build physical asset and facilities needed for economic development so that the company need project financing to support with. Project finance is based on debt repayment from project companies’ revenue and not on the sponsors or the developer’s balance sheet, so the project companies should assure the cash flow is sufficient for debt repayment and dividend payment. Beside that investors still have to analyze the value created in that project with highest positive Economic Value Added. Net Operating Profit After Tax (NOPAT) need to cover cost of invested capital to create value so that the ratio of NOPAT to total Project Cost (Return on Invested Capital) is should be more than the weighted average cost of capital (WACC). The capital structure doesn’t have an optimum weight and cost as long as the Return on Invested Capital (ROIC) higher than WACC.

scholarly journals Business performance assessment of small and medium-sized enterprises: Evidence from the Czech Republic

2021 ◽  
Vol 19 (3) ◽  
pp. 430-439
Author(s):  
Vojtech Stehel ◽  
Jakub Horak ◽  
Tomas Krulicky
Keyword(s):  
Performance Assessment ◽  
Business Performance ◽  
Economic Value ◽  
Value Added ◽  
Economic Value Added ◽  
The Czech Republic ◽  
Economic Result ◽  
Risk Free Rate ◽  
The Given ◽  
Free Rate

Business performance assessment is one of the basic tasks of management. Business performance can be assessed using a number of methods. The basic ones include financial analysis, Balanced Scorecard or Economic Value Added (EVA). The paper is focused on SME business performance assessment based on Economic Value Added, calculated using the INFA build-up model. According to this method, companies were divided into four categories. The first category included companies with a positive EVA value. The second category included companies with negative EVA, but with the economic result above the risk-free rate. The third category included companies with a positive economic result above the risk-free rate. The fourth category included companies with a negative economic result. The model did not include companies with negative equity. The input represented 15 predictors based on their financial statements. The data were normalized and all extreme values, likely caused by a data rewriting error, were removed. Company performance is visualized by comparing Principal Component Analysis and Kohonen neural networks. Compared to similar research, the methods are compared using the data that analyzes the performance of companies. Both methods made it possible to visualize the given task. With regard to the purpose of facilitating the interpretation of the results, for the given case, the use of PC seems to be more appropriate. AcknowledgmentThis study has been supported by the Technology Agency of the Czech Republic under project No TL01000349.

scholarly journals Problematic aspects of the economic value added measure in environment of the Czech Republic

2010 ◽  
Vol 58 (6) ◽  
pp. 59-66 ◽  
Author(s):  
Michaela Beranová ◽  
Marcela Basovníková ◽  
Dana Martinovičová
Keyword(s):  
Economic Value ◽  
Accounting Standards ◽  
Value Added ◽  
Economic Value Added ◽  
Economic Data ◽  
Recent Past ◽  
Accounting Data ◽  
The Czech Republic ◽  
Pros And Cons ◽  
Ideal Number

The EVA indicator has been constructed in the recent past as a reaction to requirements of the new economic environment. As the EVA indicator has been introduced by Stewart Stern & Co. in the early nineties, past two decades many economists have been discussing the pros and cons of EVA application as well as various adjustments needed to calculate some relevant result. A range of attitudes to the adjustments to accounting data towards economic data exist there. As the indicator of economic value added is considered to be a criterion of company’s real economic performance it is necessary to be very careful at applying encouraged adjustments. In this article, the authors compare and discuss these adjustments advised in order to reach some ideal number. Accounting differences of US GAAP, IFRS and Czech Accounting Standards are taken into consideration.

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