scholarly journals The profitability of second-tier banks: essence and main influencing factors

2021 ◽  
Vol 101 (1) ◽  
pp. 36-47
Author(s):  
Zh.T. Yeveskina ◽  
Keyword(s):  
Regression Analysis ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Net Income ◽  
Testing Hypotheses ◽  
Factors Affecting ◽  
Main Factors ◽  
Second Tier ◽  
The Republic ◽  
The Relationship

Object. In this article, based on the aggregate indicators of second-tier banks of the Republic of Kazakhstan, what factors and how they affect the net income of the bank is determined. Methods. During the analysis, a correlation-regression analysis of banking data was carried out using the Stata statistical package, and conclusions were drawn. Findings. To identify the factors that affect the profitability of banks, the interdependencies between the selected indicators were identified. The correlation analysis revealed the relationship between the selected factors and the bank's net income. The density of bonds was determined by testing hypotheses calculated based on pair correlation coefficients. Conclusions. The factor analysis carried out made it possible to identify the main factors affecting the bank's activities and assess the degree of their impact. As a result of the analysis of factors affecting the bank's income in the aggregate indicator of second-tier banks of the Republic of Kazakhstan, the compliance of the results obtained with the expected results was determined.

scholarly journals The Relationship between Liquidity and Firms’ Profitability: A Case Study of Karachi Stock Exchange

2017 ◽  
Vol 9 (1) ◽  
pp. 54 ◽  
Author(s):  
Nazish Bibi ◽  
Shehla Amjad
Keyword(s):  
Regression Analysis ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Return On Assets ◽  
Current Ratio ◽  
Factors Affecting ◽  
Operating Income ◽  
Secondary Sources ◽  
Individual Variables ◽  
The Relationship

The purpose of this paper is to investigate the relationship between firm’s liquidity and profitability; and to find out the effects of different components of liquidity on firms’ profitability.The relationship between liquidity and firms’ profitability is empirically examined by collecting the data of 50 listed firms of Karachi Stock Exchange, Pakistan. Panel data has been collected from secondary sources for the year 2007 to 2011 .Net operating income and Return on assets are used measure of firm’s profitability. Liquidity of the firm is measured by using cash gap in days and current ratio. Firm size measured by net sales, total assets and market capitalization .The study applies regression analysis to determine factors affecting profitability. Incremental tests are carried out to see the importance of individual variables in the model.The results of correlation and regression analysis showed that there is a significant negative relationship between cash gap and return on assets while current ratio has significant positive relationship with profitability. Results further indicate that log of sales and log of total assets has positive significant relationship with profitability. The findings of this study are based on firms listed on the Karachi Stock Exchange (KSE). Hence, the results cannot be generalizable to those firms which are not listed on Karachi stock exchange. The sample of the study comprises only the merchandising and manufacturing firms. Banks are excluded due to their nature of work.

scholarly journals ANALISIS PENDAPATAN MASYARAKAT PELADANG DI KAWASAN PERBATASAN KABUPATEN KAPUAS HULU KALIMANTAN BARAT

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Yuli Widyawati ◽  
Emi Roslinda
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Family Members ◽  
Working Hours ◽  
Survey Method ◽  
Net Income ◽  
Land Area ◽  
Farmer Income ◽  
The Relationship ◽  
Planting Season

Shifting cultivation is an activity that cannot be separated from the community around the border of Kapuas Hulu Regency. Various factors influence the income of farmers. The aims of  this research was to determine the income of rice farming on farmers and the relationship between income and the land area, the number of family members working in the fields and the number of working hours. Data was collected for two months from March 2016 until May 2016 at the study site through interviews with 97 families who were deliberately selected based on certain criteria. The method used in this study is a survey method with interviews using questionnaires. The collected data analyzed using associative descriptive analysis and multiple linear regression analysis. The results showed that the average net income obtained by farmers is Rp. 2,379,917.76 / respondent / planting season. If the labor wage costs are calculated, the farmer's income becomes Rp. -4,181,680,186 / respondent / planting season due to pest attacks. The results of the regression analysis show the relationship between farmer income and the variable land area, the number of family members working in the field and the number of working hours simultaneously have a significant effect on farmer income. Partially, only the variable number of working hours has a significant effect on farmer income in the border area of  Kapuas Hulu Regency.Keywords: income, land area, working hours, family members, cultivators

scholarly journals The relationship between craniomandibular disorders and occlusal disharmonies in the adolescent population of the Republic of Serbia

2004 ◽  
Vol 51 (2) ◽  
pp. 83-88 ◽  
Author(s):  
Slobodan Dodic ◽  
Vladimir Sinobad ◽  
Igor Djordjevic
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Odds Ratio ◽  
Signs And Symptoms ◽  
Craniomandibular Disorders ◽  
Computer Evaluation ◽  
Adolescent Population ◽  
The Republic ◽  
The Relationship

Using a special questionnaire adapted for computer evaluation, the prevalence of signs and symptoms of craniomandibular disorders (CMD) and occlusal disharmonies was investigated in a group of 500 adolescents of the Republic of Serbia ranging between 18 and 25 years of age. The presence of signs (symptoms) of CMD and occlusal discrepancies was established using clinical exsamination and evaluated according to the clinical disfunction index (D i) and index of the occlusal state (Oi) proposed by Helkimo et al. 1974. The results of this study revealed that 327 (65.4%) adolescents in the examined group had at least one sign (symptom) of CMD, (Di > 1), and that 271 (54.2%) adolescent had also mild, or severe occlusal discrepancies (Oi > 1). The percentage of persons with signs(symptoms) of CMD was significantly greater in the group having occlusal discrepancies (X = 7.76, P<0.01). The multiple regression analysis of the obtained data and the ODDS ratio confirmed the risk of CMD in the group with occlusal discrepancies to be 2.5 times greater than in the group of adolescents without occlusal discrepancies.

scholarly journals Customer Satisfaction in Retail Banking Services in Nepal

2019 ◽  
Vol 12 (1) ◽  
pp. 45-58
Author(s):  
Phul Prasad Subedi
Keyword(s):  
Regression Analysis ◽  
Customer Satisfaction ◽  
Financial Institutions ◽  
Commercial Banks ◽  
Retail Banking ◽  
Descriptive Statistics ◽  
Banking Services ◽  
Factors Affecting ◽  
Independent Variables ◽  
The Relationship

This research mainly focuses on analysing the factors affecting customer satisfaction in retail banking in Nepal. The study adopts descriptive and explorative research design to deal with the fundamental issues associated with various factors of customers’ satisfaction and retail banking. The study is based on questionnaire survey of 200 customers of 10 different “A” class financial institutions, i.e. commercial banks. Descriptive statistics, correlation coefficient and regression analysis have been applied to estimate the relationship between customer satisfaction as dependent variable and service quality variables as independent variables. The empirical evidences indicate that reliability, responsiveness, assurance and tangibles factors have positive and significant impact on customer satisfaction. It reveals that higher the level of responsiveness, reliability, assurance and tangibility higher would be the customer satisfaction.

Investigation of factors affecting the seam slippage of garments

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4756-4765
Author(s):  
Daoling Chen ◽  
Pengpeng Cheng
Keyword(s):  
Regression Analysis ◽  
Linear Equation ◽  
Linear Density ◽  
Breaking Strength ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Test Results ◽  
Factors Affecting ◽  
Polyester Material ◽  
Sewing Thread

Seam slippage often occurs with some garments during the process of wearing or washing, which not only affects the appearance of the garment but also influences garment quality. The purpose of this study is to find out the factors that affect the seam slippage of garments. In order to make the test results closer to those of the garment itself, this study first proposed to make the fabric into a Japanese woman's prototype sample, in order to simulate the garments produced by a garment enterprise. Then, according to standards GB/T 13772.2-2008/ISO 13936-2: 2004 and GB/T 21294-2014, samples were made and seam slippage at the armhole and side seam was tested. Experimental results reveal that the factors that cause the seam slippage of garments are the fabric, seam type and sewing thread. According to the regression analysis, the seam type has a significant effect on the seam slippage of the armhole and side seam, with Pearson correlation coefficients of −0.715 and −0.650, respectively. Thickness, weight, weft density and weave type of the fabric are also important in terms of seam slippage. The weight of the fabric is more significant than other factors; the significant values at the armhole and side seam are 0.009 and 0.002, respectively. In the linear equation, it is shown that weft breaking strength of the fabric only impacts the seam slippage at the side seam. Sewing thread is another important factor for the seam slippage of garments, and its influence on the armhole is obvious; the larger the sewing thread linear density of polyester material is, the smaller the seam slippage is.

The Relationship and Regression Analysis of Urban Water Supply and Temperature

2012 ◽  
Vol 256-259 ◽  
pp. 2420-2423
Author(s):  
Heng Hua Shi ◽  
Wen Guo Weng ◽  
Zheng Gan Zhai ◽  
Yuan Yuan Li
Keyword(s):  
Regression Analysis ◽  
Water Supply ◽  
Meteorological Factors ◽  
Supply System ◽  
Scientific Management ◽  
Urban Water ◽  
Urban Water Supply ◽  
Analysis Method ◽  
Factors Affecting ◽  
The Relationship

Urban water supply system and the people’s daily life are closely related. In addition to the urban population, the structure and the scale of economic, the factors affecting the requirement of urban water supply included the meteorological factors such as temperature. Based on Pearson product-moment correlation coefficient, we analyze the relationship between urban water supply and temperature with the actual data of Beijing from 2008 year to 2009 year, and get regression fitting function with multiple regression analysis method. The analysis result can provide the basis for scientific management and accurately predict urban water supply.

scholarly journals ANALYSIS OF THE DEVELOPMENT OF THE STREET-ROAD NETWORK OF TOMSK

2019 ◽  
Vol 3 (2) ◽  
pp. 17-25
Author(s):  
Anna Birulina ◽  
Liliya Chilinger
Keyword(s):  
Road Network ◽  
Economic Systems ◽  
Negative Effects ◽  
Factors Affecting ◽  
Road Congestion ◽  
Main Factors ◽  
Natural Components ◽  
Geochemical Studies ◽  
The Relationship ◽  
The City

The article analyzes the street-road network of the city of Tomsk, and identifies the main factors affecting the workload of the city’s roads at different times of the day. The characteristic of the main factors affecting the capacity of roads and the environment is given. The analysis of the city’s road network was carried out using general plans and monitoring studies of road congestion according to “Yandex. Traffic jams”. Based on the numerous results of soil-chemical and landscape-geochemical studies, the relationship between vehicle emissions and pollution of natural components has been identified. According to the results of the study, measures have been proposed that allow minimizing and reducing the negative effects on natural and socio-economic systems.

scholarly journals FORMATION OF RECREATIONAL AREAS BY USING DISTURBED URBAN LANDS

2021 ◽  
Vol 6 (12) ◽  
pp. 73-83
Author(s):  
R. Galdin ◽  
N. Aleinikova ◽  
T. Yarmosh
Keyword(s):  
Aesthetic Perception ◽  
Factors Affecting ◽  
Forest Park ◽  
Environmental Situation ◽  
Urban Territories ◽  
Main Factors ◽  
Relationship Of ◽  
The Relationship ◽  
The City

The article is devoted to the problems of disturbed lands that are part of urban territories, the need for reclamation and the creation of recreational spaces based on them. There are a large number of quarries on the territory of the Belgorod region, many of which are no longer functioning and they need to be transformed. The work in this direction entails an improvement in the environmental situation, increases the quality of the urban environment and makes these objects attractive for investment. The authors consider the main factors affecting the reclamation of the territory, analyze the types of soil and identify the relationship of geodesy with the architectural component of reclamation, present foreign and domestic experience in solving problems related to disturbed lands, comply a table of the main quarries of the Belgorod region in order to identify features characteristic of this region. As a result of the research, proposals and methods are put forward, taking into account regional peculiarities, for the reclamation of a chalk quarry in order to create a recreational space and then integrate it into the forest park framework in Belgorod, which will lead to an improvement in the environmental situation and aesthetic perception of the city as a whole.

scholarly journals Relationship between Water Activity and Moisture Content in Floral Honey

Foods ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Chiachung Chen
Keyword(s):  
Regression Analysis ◽  
Moisture Content ◽  
Linear Equation ◽  
Water Activity ◽  
T Test ◽  
Regression Equations ◽  
Collection Site ◽  
Factors Affecting ◽  
Regression Parameters ◽  
The Relationship

The water activity (Aw) and moisture content (MC) data of floral honey at five temperatures were determined using the Aw method and it was found that temperature significantly affected the Aw/MC data. The linear equation could be used to express the relationship between Aw and MC of honeys. The empirical regression equations between parameters and temperature were established. To evaluate the factors affecting the Aw/MC data, we used categorical tests of regression analysis to assess the effect of the correlation between Aw and MC of honey and examined the factors affecting the regression parameters. Six datasets from five countries were selected from the literature. The significance of the levels of qualitative categories was tested by t-test. The slope of the relationship between Aw and MC was affected by the state of honey (liquid and crystallized). The intercepts were significantly affected by honey type (flower or honeydew), harvesting year, geographical collection site, botanical source and other factors. The outliers in the datasets significantly affected the results. With modern regression analysis, useful information on the correlation between Aw and MC could be found. The results indicated that no universal linear equation for Aw and MC could be used. The Aw value could be used as a criterion for the honey industry; then, the MC of honey could be calculated by the specific linear equation between Aw and MC.

FACTORS AFFECTING ELECTRONIC MONEY (E-MONEY) SALES CASE STUDY IN BANKING ENTITIES IN INDONESIA

2019 ◽  
Vol 24 (3) ◽  
pp. 236-242
Author(s):  
B Sundari ◽  
Cicilia Erly Istia ◽  
Renita Helena
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Marketing Channels ◽  
Analysis Method ◽  
Electronic Money ◽  
Factors Affecting ◽  
Independent Variable ◽  
The Relationship

Electronic money instruments with non-cash transactions continue to increase positively from year to year. This is also due to the launch of the national non-cash or cashless movement which has been widely applied, especially in Indonesia. This study aims to find out what factors influence e-money sales, especially in banking entities in Indonesia. This study uses multiple linear regression analysis method using SPSS 22, which aims to examine the relationship or effect of the dependent variable with the independent variable. The results of the study have found that in the partial sale of electronic money is only influenced by e-money marketing channels / partnerships. While ease of transaction, ease of top up, and type of design do not have an impact on e-money sales. Meanwhile, simultaneously, these factors have an impact on E-Money sales.

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