scholarly journals Verifying of Information Content of Economic Value Added EVA in the Food-processing Sector of the Czech Republic

2008 ◽  
Vol 16 (5) ◽  
pp. 32-46
Author(s):  
Gabriela Chmelíková
Keyword(s):  
Czech Republic ◽  
Information Content ◽  
Food Processing ◽  
Economic Value ◽  
Value Added ◽  
Economic Value Added ◽  
The Czech Republic ◽  
Food Processing Sector

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 information content of Economic Value Added of food-processing firms in the Czech Republic in the comparison with the information content of traditional performance metrics

2006 ◽  
Vol 54 (6) ◽  
pp. 77-84
Author(s):  
Gabriela Chmelíková
Keyword(s):  
Information Content ◽  
Performance Measures ◽  
Food Processing ◽  
Performance Metrics ◽  
Empirical Studies ◽  
Economic Value ◽  
Value Added ◽  
Superior Performance ◽  
Economic Value Added ◽  
Traditional Performance

The topic of this paper is motivated by the increasing popularity of Economic Value Added (EVA) and by the need to make the managing process of Czech agribusiness firms more efficient. Through adoption of EVA principle, the proponents of EVA argue, that EVA will lead to increased efficiency in the management and allocation of all assets and hence increased shareholder value. Though from the theoretical point of view EVA is seen as a superior performance metric, the results of the most empirical studies do not support this claim. One of the standard argument against EVA superiority results from the statistical survey of the relationship between EVA and traditional performance measures. Despite of the results of the most empirical studies this paper assumes (with regard to the specifics of Czech food processing sector) a difference in information content of EVA and traditional performance metrics. The intent of this article is to provide a simple regression test of the hypothesis that between EVA and traditional performance metrics is not tight linear dependency, which would point out that EVA has the same information content as traditional performance measures. The regression results indicate in all cases a positive correspondence between EVA and financial performance metrics with very low dependency of EVA on the financial metrics, which supports the examined hypothesis.

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.

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.

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 The information content of economic value added, residual income, earnings and operating cash flow: evidence from South African industrial shares

2010 ◽  
Vol 7 (3) ◽  
pp. 454-464 ◽  
Author(s):  
Pierre Erasmus
Keyword(s):  
Information Content ◽  
Cash Flow ◽  
Economic Value ◽  
Value Added ◽  
Performance Measure ◽  
Residual Income ◽  
Economic Value Added ◽  
Significant Information ◽  
Operating Cash Flow ◽  
Level Of Significance

Proponents of the value based financial performance measure of Economic Value Added (EVA) argue that it is a major improvement over other traditional measures. This study investigates the relationship between EVA and market-adjusted share returns, and compares it to that of residual income, earnings and operating cash flow. Relative information content tests suggest that earnings have the strongest relationship with share returns. The results from the incremental information content tests indicate that although the EVA components provide statistically significant information content beyond that provided by residual income, the level of significance is low.

scholarly journals Study of Information content Economic Value Added in Explain new models based on Free Cash Flow (CVFCFF and CVFCFE)

2013 ◽  
Vol 3 (1) ◽  
pp. 277 ◽  
Author(s):  
Meysam Kaviani
Keyword(s):  
Information Content ◽  
Cash Flow ◽  
Significant Relationship ◽  
Economic Value ◽  
Value Added ◽  
Free Cash Flow ◽  
Economic Value Added ◽  
New Models ◽  
Evaluation Measure ◽  
Measure Of Performance

 Free Cash Flow (FCF) is one of the measures based on cash flow for measuring performance of firms, among various evaluation measure of performance; that indicates the cash of firm after doing necessary expenditures for keeping and developing properties. Due to that, various models based on FCF have been explained for evaluation of firms in which free cash flow to firm (FCFF) and Free Cash Flow to Equity (FCFE) can be considered as the important ones.This paper aims to give new models of Free Cash Flow. These models are called Created Value from Free Cash Flow to Firm (CVFCFF) and Created Value from Free Cash Flow to Equity (CVFCFE) that purpose of examined the content of information Economic value Added (EVA) of Iran Companies in explain of CVFCFF and  CVFCFE. For this purpose a sample of 10 companies representing in the automotive of industry for a period of five years from 2005-2009 have been analyzed.The Research results indicate that there is significant relationship and positive between CVFCFF and CVFCFE with Economic value Added.

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