Forecasting Financial Performance for Quarries/ Předvídání Hospodářského Výsledku Lomů

2014 ◽  
Vol 60 (3) ◽  
pp. 1-9
Author(s):  
Jaroslav Dvořáček ◽  
Radmila Sousedíková ◽  
Zdenka Jureková ◽  
Tomáš Vrátný
Keyword(s):  
Financial Performance ◽  
Classification Accuracy ◽  
Building Materials ◽  
Slovak Republic ◽  
Annual Data ◽  
Specific Method ◽  
Linear Discriminate Analysis ◽  
Discriminate Analysis ◽  
Expert Opinions ◽  
Sample File

Abstract The paper highlights the importance of successful financial performance for companies, and provides for a brief review of foreign expert opinions on the most important factors that influence the financial performance of enterprises. Linear and quadratic discriminate analyses and a logistic regression analysis were applied to a sample file of 233 annual data from 3 countries (Czech Republic, Slovak Republic, Ukraine) for a period of 2008-2012 concerning quarries extracting building materials. These methods provided for distributing the sample file quarries into two classes of profitable and loss-making enterprises. Their financial performance had been known, which enabled to assess the classification accuracy of individual method applications. The average classification accuracy was about 86% and there were no significant differences in the specific method applications. The linear discriminate analysis calculations are the simplest ones in comparison with two other applied methods. The linear discriminate analysis also made possible to identify the most influential discriminators that contributed to the classification into the specific groups. In case of our investigation, prices per production unit, direct variable costs, and ratio of fixed costs to total costs were the most important factors of influence. The factors, if analysed, can provide for prediction of financial performance of quarries in future.

150 – Linear discriminate analysis applied to a multicenter first episode schizophrenia sample

2008 ◽  
Vol 98 ◽  
pp. 94-95
Author(s):  
S.C. Schulz ◽  
A.P. Georgopoulos ◽  
R.L. Gollub ◽  
N.C. Andreasen ◽  
B.C. Ho ◽  
...  
Keyword(s):  
First Episode ◽  
Linear Discriminate Analysis ◽  
Discriminate Analysis ◽  
First Episode Schizophrenia

scholarly journals Financial Performance and Income Diversity: Does Ownership Matter? Evidence from Vietnamese Commercial Banks

2020 ◽  
Vol 12 (8) ◽  
pp. 77
Author(s):  
Tin H. Ho
Keyword(s):  
Financial Performance ◽  
Commercial Banks ◽  
Banking Sector ◽  
Stock Exchange ◽  
Real Estate Market ◽  
State Ownership ◽  
Annual Data ◽  
Operating Income ◽  
Panel Regressions ◽  
Credit Shocks

In the context of the sharp development of the Vietnamese stock market in recent years, financial performance of listed firms is drawing the attention of investors, particularly in banking industry. Moreover, the harmony of income diversity or reducing the relying on traditional activities of commercial banks is thriving in the world and strongly influence on Vietnam’s banking, especially when the outbreak of COVID-19 worldwide may result in the freeze of real estate market, which leads to devaluate collaterals as well as the risk of non-performing loans, so-called “credit shocks”. This paper, therefore, examines the impacts of income diversity on financial performance of Vietnamese commercial banks in the period from 2007 to 2019. To conduct this study, annual data are collected of 26 commercial banks, listed in Ho Chi Minh Stock Exchange (HOSE), Ha Noi Stock Exchange (HNX), UPCoM and OTC. The research develops an exploratory model reflecting financial performance of the banks in relation to their income diversity and analyzes data using panel regressions. The results show that there is no relationship between financial performance and income diversity due to its low proportion in total operating income. However, the state ownership makes stronger this relationship despite the small impacts. The findings are expected to add the gap in the existing literature, lacking of investigating the impacts of market power on bank income diversity, and the moderating role of state ownership in this relation in Vietnamese banking sector, which is ignored or opposite in most recent studies. Thereby, the paper also gives some useful implications for investors, bank managers as well as policy makers to catch up the market fluctuations.

scholarly journals President interlocking, family firms and performance during turbulent times: Evidence from Latin America

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Karen Watkins-Fassler ◽  
Virginia Fernández-Pérez ◽  
Lázaro Rodríguez-Ariza
Keyword(s):  
Latin America ◽  
Financial Performance ◽  
Latin American ◽  
Family Firms ◽  
Annual Data ◽  
Minority Shareholders ◽  
Return On Assets ◽  
Publicly Traded Companies ◽  
Turbulent Times ◽  
And Performance

n Latin America, company ownership is typically concentrated in the hands of controlling families, who build powerful business groups which facilitate interlocking practices. The purpose of this study is to examine how President interlocking relates with financial performance in Latin American firms, under uncertainty circumstances. Using regression analysis (panel least squares), the association between return on assets and President interlocking during turbulent times is analyzed. For the latter, annual data (2009–2010) from non-financial publicly traded companies in Chile (243 firms) and Mexico (89 firms) is employed. It is documented that President interlocking in Latin American firms is positively associated with financial performance. However, this effect is higher in Chile than in Mexico, where minority shareholders and other stakeholders are better protected against expropriation. This study increases the understanding of the strengths of President interlocks in stormy times, by introducing the Latin American context.

Bankruptcy Prediction Using Quarterly Financial Statement Data

1992 ◽  
Vol 7 (3) ◽  
pp. 269-285 ◽  
Author(s):  
Jane Baldwin ◽  
G. William Glezen
Keyword(s):  
Classification Accuracy ◽  
Prediction Models ◽  
Statistical Significance ◽  
Bankruptcy Prediction ◽  
Securities And Exchange Commission ◽  
Fiscal Year ◽  
Annual Data ◽  
Multiple Discriminant Analysis ◽  
Quarterly Data ◽  
Annual Period

The purposes of this study were to assess the usefulness of quarterly data for predicting bankruptcy and to determine if the earlier prediction by quarterly bankruptcy models can be obtained without the sacrifice of accuracy achieved by annual bankruptcy models. A sample of 40 public firms entering bankruptcy from 1977 to 1983 was matched on the basis of fiscal year, industry, and asset size with 40 nonbankrupt firms. Quarterly financial data were obtained from the firms' 10-Q reports filed with the Securities and Exchange Commission (SEC), whereas annual data were obtained from the 10-K reports. Multiple discriminant analysis was used to derive quarterly bankruptcy prediction models for each of the three quarters before and after the last annual period preceding bankruptcy and for the last annual period preceding bankruptcy. Twenty-four financial ratios that were identified in previous studies as being useful for bankruptcy prediction were selected as the independent variables in the stepwise discriminant process. The classification accuracy, using alternative assumptions regarding prior probability of bankruptcy and cost of misclassification and the statistical significance of the quarterly models for each of the six quarters tested, indicated that quarterly data are useful for predicting bankruptcy. There was no statistical evidence to suggest that the classification accuracy of the annual model was superior to that of the quarterly model. This finding suggests that more timely bankruptcy predictions can be provided to investors, creditors, and auditors by quarterly models without the loss of accuracy provided by annual models.

scholarly journals Assessment of the competitiveness of industrial companies and methods for assessing the quality of construction products

2020 ◽  
Vol 164 ◽  
pp. 09027
Author(s):  
Olga Safonova ◽  
Lyudmila Tatarnikova
Keyword(s):  
Quality Management ◽  
Product Quality ◽  
Management System ◽  
Building Materials ◽  
Quality Management System ◽  
Iso 9000 ◽  
International Standards ◽  
Specific Method ◽  
Product Management

The model of a quality management system based on international standards ISO 9000 series is recognized in all the world. The aim of the article is to show the competitive advantages of a construction company in the modern market by improving its quality and product management system. We consider the implementation of the provisions of international standards ISO 9000 series as an effective solution to the problem. Quality improvement is a continuous work aimed at improving the technical level of product quality, quality of its manufacture, improving production elements and the quality system itself. The authors of the article give a specific method for improving the enterprise quality management system with a developed sequence. A risk-based approach to creating an enterprise quality management system was also considered. The main research methods in assessing the technical condition of certain building materials are differential, integrated and mixed methods. The authors show the calculation procedure using these methods, as well as the main results of their application. Then, the article provides a methodology for calculating the level of product quality, which is evaluated by a set of indicators, which do not include economic indicators.

scholarly journals Jones' Model and Its Modifications in the Conditions of the Slovak Republic

2021 ◽  
Vol 91 ◽  
pp. 01007
Author(s):  
Lenka Strakova ◽  
Lucia Svabova
Keyword(s):  
Earnings Management ◽  
Financial Performance ◽  
Slovak Republic ◽  
Comparison Method ◽  
Future Research ◽  
Suitable Model ◽  
Detection Capability ◽  
For Profit ◽  
Jones Model ◽  
Measure Of Performance

One of the key tasks of financial accounting from its beginnings to the present day is to determine the performance of the company. The financial statements should provide users with a true and fair view of the financial position and financial performance of the entity during the period. At present, profit represents the most frequently accepted measure of a company’s financial performance. An important prerequisite for profit as a reliable measure of performance is its quality, which can be influenced by various factors or techniques resulting from earnings management. This paper aims to compare the detection capability of the Jones model and its modifications for assessing the occurrence of earnings management in the conditions of the Slovak Republic. We use the regression analysis and comparison method, based on which we compare the detection capability of the Jones model and its modifications for assessing the occurrence of earnings management in the conditions of the Slovak Republic. The contribution of the paper lies in the observation of the Jones model and its modifications to determine a suitable model for assessing the existence of earnings management in companies in Slovakia, which will be the subject of future research.

scholarly journals Bilateral Trade By Products Between the V4 Countries and China in Years 2009–2019

2021 ◽  
Vol 66 (4) ◽  
pp. 463-482
Author(s):  
Sylwia Pangsy-Kania
Keyword(s):  
International Trade ◽  
Czech Republic ◽  
Bilateral Trade ◽  
Inductive Inference ◽  
Slovak Republic ◽  
Annual Data ◽  
Starting Point ◽  
Inference Methods ◽  
Visegrad Group ◽  
By Products

Abstract Subject and purpose: Using annual data for the periods 2009–2019, this paper examines trade flows between China and the Visegrad Group countries. The aim of this article is to assess real changes taking place in international trade in the Visegrad Group countries (V4) over the last eleven years. The starting point for the analysis was 2009 – the time after the 2008 economic crisis, and it was compared especially to 2018 – a year marked by a significant improvement in the economy. The purpose is to discuss concerns related to the differences in bilateral trade between China and Poland, Czech Republic, Hungary, and Slovak Republic. The main aim of this research is to distinguish the characteristics of bilateral trade by products between V4 and China in years 2009–2019. The purpose of this article is also to systematize and discuss points of view, rationalizing further empirical research. Two research hypotheses, resulting from the research purpose, were formulated: H1: in the V4 countries import exceeds export, and this trend seems to be growing, H2: Chinese goods imported to the V4 are much more sophisticated than those exported. Design/Methodology/Approach: To assess the initial and current situation on international trade between the V4 and China, the author uses variables obtained from WTO and OEC resources, diagnosing the situation in Poland, Czech Republic, Hungary, and Slovak Republic. The collected empirical data were processed using theoretical methods such as analysis, synthesis, and comparison to formulate conclusions using deductive and inductive inference methods. Practical Implications: The results can be used in scientific and expert work on diagnostic and forecast trends in bilateral trade by products between the V4 and China. Originality/Value: It concerns the indication of the importance of the V4 trade with China compared to the share of the V4 countries in world trade. It was also possible to identify the top export and import products of the V4. The findings also confirm the significant change in China’s trading structure.

scholarly journals The Impact of Economic Crisis on the Financial Performance of the European Companies

Ekonomika ◽  
2019 ◽  
Vol 98 (2) ◽  
pp. 6-18
Author(s):  
Nicoleta Barbuta-Misu
Keyword(s):  
Financial Crisis ◽  
Financial Performance ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Business Environment ◽  
Financial Accounting ◽  
Annual Data ◽  
Factors Affecting ◽  
Financial Firms ◽  
The Impact

Financial-accounting information plays an important role in assessing and forecasting firms’ financial performance. But besides that, there are other external factors affecting the firm’s performance, such as the economic and financial crisis that causes imbalances over the economy and affect the business environment. Thus, based on financial statements data, in this paper, the determinants of financial performance are examined and also the impact of financial crisis on these factors is analysed using the fixed and random effects panel estimators. For this research it was used a sample of non-financial firms from European countries considering annual data from 2006 until 2015. The results achieved by panel data analysis show that crisis exerts a significant positive effect over financial performance as well as liquidity, assets turnover and labour productivity inducing that firms tend to do higher efforts to keep financial performance in face of a crisis. Financial performance is significantly and negatively influenced by leverage independently of the crisis effect showing that return on assets is lower than average interest rate.

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