THE MODEL OF ECONOMIC SECURITY ASSESSMENT DESIGNED USING THE METHODS OF CORRELATION AND REGRESSION ANALYSIS

2021 ◽  
pp. 35-42
Author(s):  
P. A. Ilyin ◽  
Keyword(s):  
Regression Analysis ◽  
Economic Security ◽  
General Level ◽  
Security Assessment ◽  
Mathematical Methods ◽  
Financial Independence ◽  
Correlation And Regression Analysis ◽  
Fixed Assets ◽  
Asset Turnover ◽  
National Economies

In the context of a slowdown in the growth of the world economy, and the national economies reformatting as a result of sanitary and epidemiological restrictions, the issue of establishing economic security criteria and indicators at various levels of the economy becomes urgent. The primary element of the Russian economy creating goods, performing work, and providing services is an enterprise. Since currently, there are different scientific points of view, and there is no unified approach to this issue, there is a need to create a scientifically based model, including using mathematical methods, for assessing the viability of an enterprise regarding the safety of its vital interests. Using the correlation and regression analysis, the author studies the linear dependence of economic security general level on the corresponding financial indicators, which are formed based on fifty simulated financial and economic situations in the company’s activities. To analyze, the author uses the coefficients of fixed assets depreciation, absolute liquidity, term liquidity, capitalization, financial independence, asset turnover autonomy, capital return, equity turnover, and economic, financial, and commercial profitability. As a result, the paper presents a model for assessing the general level of the company’s economic security. The resulting equation is significant, but only five of thirteen coefficients are valid at a given level of error and probability: the fixed assets depreciation coefficient, absolute liquidity coefficient, current liquidity coefficient, financial independence coefficient, and financial profitability coefficient. At the same time, the formulated system of indicators of exclusively financial security is not complete when studying the level of economic security of an enterprise, forming only the central part of the general (expanded) model of economic security of an enterprise.

scholarly journals MODELLING OF THE INTEGRATED INDICATOR OF THE GENERAL LEVEL OF ENVIRONMENTAL SAFETY OF THE ENTERPRISE

2017 ◽  
pp. 182-191 ◽  
Author(s):  
Tetyana Radevych ◽  
Yuliya Nochovna ◽  
Nataliya Samburs'ka
Keyword(s):  
Regression Analysis ◽  
Environmental Protection ◽  
Mathematic Model ◽  
Environmental Safety ◽  
General Level ◽  
Environmental Damage ◽  
Economic Factors ◽  
Integral Coefficient ◽  
Correlation And Regression Analysis ◽  
The Impact

Introduction. Effective stimulation of the activities of national enterprises in the direction of environmental protection, reduction of the negative impact of production on the environment, increase of innovation and investment attractiveness, environmental image and improvement of the ecological situation in Ukraine becomes possible on condition of the development and practical testing of the methodology for assessing the overall level of environmental safety of the enterprise. Purpose. The article aims to develop an integrated index of the overall level of environmental safety of the enterprise, to justify the possibility of using correlation and regression analysis to confirm the interrelationship between its components. Methodology. The fundamental aspects of the general economic theory, the economics of nature usage and environmental protection, statistics and econometrics have become the methodological basis of the article. The article uses correlation and regression analysis, comparative analysis, method of relative values, methods of economic and mathematic modelling etc. Results. In the article the formula for calculation the integral index of the general level of ecological safety of the enterprise is developed. It is based on three partial integral coefficients: the integral coefficient of environmental damage; integral coefficient of influence of economic factors; the integral factor of the impact of environmental and economic factors. The use of correlation and regression analysis has confirmed the adequacy of the developed economic and mathematic model, the reality of interconnections and interdependencies between its indicators.

scholarly journals Forecasting the level of financial security of the country (on the example of Ukraine)

2018 ◽  
Vol 15 (3) ◽  
pp. 304-317 ◽  
Author(s):  
Józef Antoni Haber ◽  
Alina Bukhtiarova ◽  
Svitlana Chorna ◽  
Olesia Iastremska ◽  
Tetiana Bolgar
Keyword(s):  
Regression Analysis ◽  
Financial System ◽  
Economic Security ◽  
Main Element ◽  
Security Level ◽  
Financial Security ◽  
Security Assessment ◽  
Economic Relations ◽  
Banking Market

In the conditions of functioning of economic relations, which arise between subjects of the financial system of Ukraine, the question of creating safe conditions for their activity is increasingly being raised. Attention is paid to the investigation of the state of financial security of the country as a component of economic security, in terms of its key elements, which allows attention to the most important indicators and to develop measures to prevent existing threats.The purpose of the paper is to forecast the level of financial security of the country based on regression analysis of impacts factors. The object of the study is the financial system as a mechanism, which is aimed at the activities of financial security subjects of the country to ensure its proper level. As a result of the regression analysis, it was found that changing in the country’s banking security by 1% will decrease the overall financial security index by 0.04 points, while the non-banking market will grow by 0.07 and the monetary component will decrease by 0.51.Based on the calculation of the arithmetic mean of absolute deviations of independent variables, the estimated value of Ukraine’s financial security level is calculated, which is 40.09% in 2018.Proposals for improving the “Methodological Recommendations for Calculating the Level of Economic Security of Ukraine” will help to solve the problem of mathematical substantiation of the choice of indicators for assessing financial security, minimize risks, eliminate subjectivity and improve the efficiency and the quality of the country’s financial security assessment methodology.The article deals with the issues of the financial component of economic security as the main element of ensuring sustainable financial development of the country.

scholarly journals Kinerja Keuangan Perusahaan Makanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia Ditinjau Dari Rasio Keuangan (Studi Pada Perusahaan Makanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia Pada Tahun2015-2018)

2020 ◽  
Vol 5 (2) ◽  
pp. 200-210
Author(s):  
Arif Budhiyanto ◽  
Fifi Swandari ◽  
Sufi Jikrillah
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Activity Ratio ◽  
Working Capital ◽  
Return On Assets ◽  
Return On Equity ◽  
Financial Report ◽  
Fixed Assets ◽  
Asset Turnover ◽  
The Impact

Abstract The aim of this research is to examine and analyse the impact of activity ratio with fixed assets turnover, total assets turnover, and working capital turnover on profitability ratio with return on assets and return on equity as the measurement standart. The objects of this research were Food and Beverages Industries listed at BEI in 2015-2018 period. According to the above objectives, six hypotheses have been formulated. The samples in this research were taken by “sampling jenuh” method using certain criteria to be fulfilled. This research used 16 samples, which one of them did not fulfill the criteria, two of them have negatif financial report and three of them have not continue published financial report. To solve the problem, this research used multiple regression analysis processed by SPSS 16.0. The result of the research showed that fixed assets turnover, total assets turnover and working capital turnover had impacts on return on assets in the first equation. In the second equation fixed assets turnover and working capital turnover had impact on return on equity. Meanwhile, total asset turnover did not have impact on return on equity in second equation.   Keywords: Fixed assets turnover, Total assets turnover, Working capital turnover Return on assets, Return on equity

Economic and Mathematical Modeling of Russia’s Economic Security in the Period Under Sanctions

2020 ◽  
Vol 152 ◽  
pp. 32-39
Author(s):  
Galina I. Smirnova ◽  
◽  
Maria E. Listopad ◽  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Regression Analysis ◽  
Russian Federation ◽  
Statistical Significance ◽  
Economic Security ◽  
Regression Equation ◽  
Correlation And Regression Analysis ◽  
Time Period ◽  
The Russian Federation

For the study, the time period of introducing economic sanctions against the Russian Federation was selected. In consideration are taken the data of Rosstat in terms of finding the values of indicators of our state’s economic security (2013–2017). A correlation and regression analysis of this system, consisting of 15 indicators, was carried out. An economic-mathematical model of the sanctions impact on the economic security of Russia was compiled. To solve this problem, the authors used a correlation-regression analysis, the regression equation was found and statistical significance of the constructed model was substantiated. The findings were recommended to specialists in the sphere of improving the state’s economic security.

scholarly journals Identifying and analysing relation between economic security and efficiency of foreign economic activity in Astrakhan region

2019 ◽  
Vol 2019 (4) ◽  
pp. 49-58
Author(s):  
Dmitry Vitalyevich Bryantsev ◽  
Rufina Zagitovna Ilyasova
Keyword(s):  
Regression Analysis ◽  
Economic Activity ◽  
Trade Balance ◽  
Correlation Coefficients ◽  
Economic Security ◽  
Statistical Dependence ◽  
External Trade ◽  
Correlation And Regression Analysis ◽  
Security Indicators ◽  
The Relationship

The article focuses on the need to balance the interests of efficiency and security of the external economic activity of the Astrakhan region in terms of fierce international competi-tion. The importance of studying the external economic activity of the region is explained by the strategic importance of a borderline geopolitical position of the region. There have been formulated the hypotheses about the positive and negative statistical dependence between socio-economic factors of the region development and resulting figures of external trade of the region; the correlation coefficients between them are defined and interpreted. On the basis of correlation and regression analysis, a statistically significant relationship between the factors of external economic activity and of economic security of the Astrakhan region has been established. There are considered four stages of correlation and regression analysis of the external economic activity in ensuring the economic security of the region: determining the dependence of foreign trade on indicators of economic security in the Astrakhan region; determining the relationship between the volume of exports and indicators of economic security of the region; determining the dependence of the volume of imports on indicators of economic security of the region; determining the relationship between the trade balance and the economic security indicators of the Astrakhan region. The results of the correlation analysis are verified and confirmed by means of the determination coefficient, the value of Fisher F-curve, Student t-test and the standard error indicator. As a result, it has been proposed to use the industrial production index as an indicator of the state of efficiency and security of external economic activity of the region. Correlation and regression analysis was performed using Excel spreadsheets, graphical interpretations of the regression analysis are presented, the result matrix of the regression analysis of the trade balance of the Astrakhan region is presented.

The study of crimes against property on the basis of regional statistics

2020 ◽  
pp. 148-158
Author(s):  
В.А. Чирков
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Russian Federation ◽  
Economic Security ◽  
The State ◽  
Scientific Article ◽  
Material Damage ◽  
Correlation And Regression Analysis ◽  
The Russian Federation ◽  
The Impact

В научной статье рассмотрена тематика преступности против собственности, имеющая ярко выраженную региональную специфику [2, с. 152] на предмет её статистического анализа, выявления факторов, её определяющих. Разнообразие данного рода преступлений требует комплексного анализа и исследования с целью выработки способов по профилактике и борьбе с ними. Эта преступность крайне общественно опасна для граждан, организаций и для государства в целом, так как причиняет значительный материальный ущерб. Актуальность исследования заключается в том, что влияния каждого отдельного фактора на размер материального ущерба определяется необходимостью исследования состояния экономической безопасности Российской Федерации при том, что единицами статистического наблюдения выступают именно регионы. [8, с. 117-123]. Особая значимость в исследовании придается такому показателю как размер материального ущерба по преступлениям против собственности в Российской Федерации. Для выявления связей между показателями были применены различные методы статистического анализа, имеющие значимую роль в научно-обоснованном выводе о состоянии экономической безопасности страны. В процессе исследования применялись следующие научные методы: одномерная, по наиболее значимому показателю, и многомерная группировки, метод корреляционно-регрессионного анализа, метод аналитического выравнивания, метод кластерного анализа. В ходе исследования было установлено влияние и взаимосвязь социально-экономических показателей между собой при помощи корреляционно-регрессионного анализа. Применены методы экстраполяции, с помощью которых были смоделированы прогнозные значения показателей на 2020 г. Ключевым аспектом статистического исследования в данной статье является то, что в процессе анализа взаимосвязи между показателями было выявлено, как размер материального ущерба по преступлениям против собственности, в ближайшей перспективе будет возрастать. Поэтому необходимо усиление внимания к изучению данной проблемы для выработки более действенных способов профилактики и борьбы с экономическими преступлениями. The scientific article considers the subject of crime against property, which has a pronounced regional specificity [2, p. 152] for its statistical analysis, identification of factors that determine it. The diversity of this type of crime requires a comprehensive analysis and research in order to develop ways to prevent and combat them. This crime is extremely socially dangerous for citizens, organizations and for the state as a whole, as it causes significant material damage. The relevance of the study is that the impact of each individual factor on the amount of material damage is determined by the need to study the state of economic security of the Russian Federation, despite the fact that the units of statistical observation are the regions. [8, pp. 117-123]. Particular importance in the study is given to such an indicator as the amount of material damage for crimes against property in the Russian Federation. To identify the links between the indicators, various methods of statistical analysis were used, which have a significant role in the scientifically based conclusion about the state of economic security of the country. In the process of research the following scientific methods were used: one-dimensional, according to the most significant indicator, and multidimensional grouping, the method of correlation and regression analysis, the method of analytical alignment, the method of cluster analysis. The study established the influence and relationship of socio-economic indicators with each other using correlation and regression analysis. Extrapolation methods were used to simulate the forecast values of indicators for 2020. The key aspect of the statistical study in this article is that in the process of analyzing the relationship between the indicators, it was revealed how the amount of material damage for crimes against property will increase in the near future. Therefore, it is necessary to increase attention to the study of this problem in order to develop more effective ways of preventing and combating economic crimes.

scholarly journals STUDY OF THE RELATIONSHIP BETWEEN THE LEVEL OF SUBJECTIVE CONTROL AND WILLPOWER IN STUDENTS - FUTURE TEACHERS

2020 ◽  
pp. 92-95
Author(s):  
Tat’yana V Zobnina ◽  
Lyubov’ P. Kislyakova
Keyword(s):  
Regression Analysis ◽  
Locus Of Control ◽  
Empirical Study ◽  
University Students ◽  
Family Relationships ◽  
General Level ◽  
Future Teachers ◽  
Correlation And Regression Analysis ◽  
High Level ◽  
The Relationship

Responsible human behaviour in life involves overcoming diffi culties, taking on additional responsibilities, which is accompanied by considerable willpower. However, to date, the relationship between the locus of control and the ability to volitional effort has not been fully studied. This article presents the results of the authors‘ correlation and regression analysis of the relationship between the locus of control and willpower in students – future teachers. The empirical study was attended by university students studying in pedagogic areas of training. As a result of the study, a positive statistically signifi cant relationship was established between the level of general internality of students and the generalised indicator of willpower. Statistically signifi cant correlations between the level of willpower and the level of subjective control in the fi eld of achievements, failures, and family relationships are revealed. It is determined that willpower is a predictor of the general level of internality of students-teachers, as well as their internality in the fi eld of achievements, failures, and family relationships. It is shown that students with a high level of subjective control statistically signifi cantly outperform students with a low level of subjective control in the generalised indicator of willpower.

scholarly journals STATISTICAL ANALYSIS OF THE STATE OF FIXED ASSETS OF COMPANIES IN THE SPHERE OF ELECTRICITY PRODUCTION AND DISTRIBUTION IN THE RUSSIAN FEDERATION

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
A.A SNATENKOV ◽  
◽  
M.S SAPRYKINA ◽  
Keyword(s):  
Regression Analysis ◽  
Russian Federation ◽  
Transmission Lines ◽  
Power Transmission ◽  
The State ◽  
Electricity Production ◽  
Correlation And Regression Analysis ◽  
Fixed Assets ◽  
Production And Distribution ◽  
The Russian Federation

Companies engaged in the production and distribution of electricity have a significant impact on the financial and economic development of the Russian Federation. In turn, the basis for the functioning of electric power companies are fixed assets, which include transmission devices, the main part of which is power transmission lines, as well as machinery and equipment, including transformer substations, RP, etc. Providing companies with the necessary amount of fixed assets, their full and effective use is one of the most important factors in the growth of the volume of electricity produced and transmitted. The key indicator that reflects the state of fixed assets of companies is the degree of their depreciation. In the article, the authors assess the dynamics of depreciation of fixed assets of companies engaged in the production and distribution of electricity. The authors formed a group of indicators-factors that can influence the state of fixed assets of companies in the field of electricity production and distribution. Through the use of multi-factor correlation and regression analysis, a significant factor has been identified that affects the state of fixed assets of companies engaged in the production and distribution of electricity. Correlation and regression analysis revealed that the degree of depreciation of fixed assets of companies in the field of production and distribution of electricity significantly affects the profitability of their sales.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN BARANG KONSUMSI YANG TERDAFTAR DI BEI TAHUN 2015-2017

2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Return On Equity ◽  
Asset Turnover

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.

Sign in / Sign up

Export Citation Format

Share Document