scholarly journals Risk Tolerance Profile of Business Students in Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 147-157
Author(s):  
DR. NAVEED HUSSAIN SHAH ◽  
DR. QAISER AMAN ◽  
DR. MOHAMMAD ASAD KHAN
Keyword(s):  
Regression Analysis ◽  
Business Students ◽  
Demographic Variables ◽  
Risk Tolerance ◽  
P Values ◽  
Correlation And Regression Analysis ◽  
Education Experience ◽  
Business Graduates ◽  
T Values ◽  
The Relationship

The study on the relationship between demographic variables and risk tolerance among business graduates in Pakistan. The correlation and regression analysis on a sample of 382 business students exhibit the following results. Empirical result of the correlation matrix are showing a positive significant correlation between risk tolerance gender, annual savings, age, experience and annual income and location except occupation which shows significant but negative correlation. Regression analysis depicts significant relationship between Risk tolerance Gender, Savings and Location shown by the t-values 2.037, 2.886, 58 and p –values .042, 0.004, and 0.000 respectively. However an insignificance relationship was found between Risk Tolerance Age, Education, Experience, Income and Occupation exhibited by their t-values -1.290, .638, -.035, - 1.886, all less than 2 and p-values above 0.05 respectively.

Moderating Effect of Demographic Variables on the Relationship Between Personality Traits and Financial Risk Tolerance

2018 ◽  
pp. 122-135
Author(s):  
Sasmita Mishra ◽  
Manit Mishra
Keyword(s):  
Regression Analysis ◽  
Personality Traits ◽  
Financial Risk ◽  
Demographic Variables ◽  
Risk Tolerance ◽  
Stepwise Multiple Regression ◽  
Hierarchical Regression ◽  
Retail Investors ◽  
Financial Risk Tolerance ◽  
The Relationship

This paper explores the relationship between financial risk tolerance and its determinant – the personality traits of retail investors. This paper also explores the moderating effect of major demographic variables like gender, age and income on the relationship between financial risk tolerance personality traits of retail investors. Stepwise multiple regression analysis and Hierarchical regression analysis was used to identify patterns in the data obtained from 261 respondents. The Stepwise multiple regression analysis established a negative association of Conscientiousness with financial risk tolerance of retail investors. The hierarchical regression analysis suggested a major impact of conscientiousness on financial risk tolerance among young Indian investors.

The Impact of Anxiety Caused by COVID-19 on Consumer Behaviour

2020 ◽  
Vol 8 (2) ◽  
pp. 243-270
Author(s):  
H. Mustafa Paksoy ◽  
Yakup Durmaz ◽  
Filiz Çopuroğlu ◽  
B. Dilek Özbezek
Keyword(s):  
Qualitative Research ◽  
Regression Analysis ◽  
Consumer Behaviour ◽  
Demographic Variables ◽  
Demographic Characteristics ◽  
Statistical Techniques ◽  
Demographic Information ◽  
Correlation And Regression Analysis ◽  
The Impact ◽  
The Relationship

The main purpose of this study is to examine the effect of anxiety that people experience due to the rapidly spreading Covid-19 on consumer behaviour. The sub-objectives of this study are to test the relationship among the anxiety caused by Covid-19, consumer behaviour and socio-demographic variables. In line with this purpose, qualitative research was conducted on 251 academicians working in Gaziantep University. Demographic information form, Death Anxiety Scale developed by Thorson and Powell (1992) and Consumer Behaviour Scale developed by Ang (2001) were conducted on the participants for data collection. The questionnaire was carried out online. The data obtained from the study were analyzed with statistical techniques such as factor analysis, correlation and regression analysis, independent sample T-test, and one-way analysis of variance (ANOVA). The findings of the study showed that the deprivation and suffering dimensions of the anxiety caused by Covid-19 have significant effects on the dimensions of consumer behaviour. It has also been found that there are significant differences among the socio-demographic characteristics of the participants, the anxiety caused by Covid-19 and consumer behaviour.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

scholarly journals Policy Assessment Investment Appeal of Innovation Projects Enterprises

2019 ◽  
Vol 9 (2) ◽  
pp. 5111-5122
Keyword(s):  
Regression Analysis ◽  
Practical Experience ◽  
Cash Flows ◽  
Financial Indicators ◽  
Correlation And Regression Analysis ◽  
Proposed Model ◽  
Modern Economic ◽  
The Subject ◽  
The Relationship ◽  
Future Cash Flows

The aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterpriseThe aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterprise

CLUSTER REGRESSION ANALYSIS TO DETERMINE THE IMPACT OF GDP ON VOLUNTARY HEALTH INSURRANCE PREMIUS

2021 ◽  
Vol 1 (7) ◽  
pp. 16-22
Author(s):  
N.L. Bushueva ◽  
Keyword(s):  
Regression Analysis ◽  
Health Insurance ◽  
Financial Stability ◽  
Socioeconomic Development ◽  
Medical Insurance ◽  
Voluntary Health Insurance ◽  
Correlation And Regression Analysis ◽  
Key Indicators ◽  
The Impact ◽  
The Relationship

Increasingly, the policy of the Russian Federation is aimed at the development of healthcare, and spending on the healthcare industry is becoming a serious problem for the financial stability of national health systems, even in highincome countries. Voluntary medical insurance, as one of the forms of medical insurance, contributes to the formation of all insurance premiums, thereby this form can be one of the indirect factors of socioeconomic development of Russia. The paper hypothesizes the existence of a relationship between the level of development of the welfare of the country and the volume of the premium fund of voluntary health insurance. A study was conducted on the relationship between voluntary health insurance and GDP, as one of the key indicators of the country's development, through correlation and regression analysis.

scholarly journals Determinants of Capital Structure in Bahrain Stock Market

2016 ◽  
Vol 3 (2) ◽  
pp. 177
Author(s):  
Abdelrhman Ahmad Meero
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Stock Market ◽  
Capital Structure ◽  
Linear Model ◽  
Significant Relationship ◽  
Correlation And Regression Analysis ◽  
Dependent Variables ◽  
The Relationship ◽  
Industrial Investment

The aim of this paper is to examine the determinants of capital structure (profitability, size, risk and growth). The sample is composed of 39 Bahraini firms listed in Bahrain Stock Market. The study covered the period 2011-2015. Correlation and regression analysis have been used to identify the relationship between the capital structure determinants and debt leverages (book leverage and market leverage). Correlation analysis aims to identify this relationship at market level and at sectorial level. Regression analysis objective is to anticipate the models characterizing the relationships between determinants and capital leverages. Results of the analysis shows negative significant relationship between profitability and dependent variables, with more significance relationship with market leverage. This relationship is demonstrated in market level and in insurance and services sectors between profitability and book leverage. When the market leverage is the dependent variable this relationship is valid in market level and in banking, hotels, insurance and services sectors. Positive significant relationship has been found between size and both leverages in market level. Similar result is detected on sectorial level in banking, industrial, investment and services when the dependent variable is book leverage. Size-market leverage relationship is positive and significant also in insurance, investment and services sectors. The relationship risk—book leverage is significant only on sectorial level in Industrial, insurance and investment sectors. In term of market leverage—risk relationship, significant relationship is detected in market level and in investment and services sectors. Regression analysis results present a significant linear model reflecting the relationship between determinants of capital structure and leverages.

scholarly journals Depression, Need for Social Approval and Loneliness in University Students

2019 ◽  
Vol 7 (4) ◽  
pp. 43
Author(s):  
Burcu Karaşar ◽  
Kemal Baytemir
Keyword(s):  
Regression Analysis ◽  
University Students ◽  
Personal Information ◽  
Demographic Variables ◽  
Education Level ◽  
Social Approval ◽  
Black Sea Region ◽  
Need For Approval ◽  
Central Black Sea Region ◽  
The Relationship

The main purpose of this study is to determine the relationship between need for approval and loneliness and depression in university students. The second purpose of the current study is to examine depression, need for social approval and loneliness in relation to some demographic variables. The study was conducted on a total of 249 students (175 females and 74 males) attending the Education Faculty of a university located in the Central Black Sea Region. The current study employed a personal information form, the Beck Depression Inventory, the UCLA Loneliness Scale and the Need for Social Approval Scale to collect data. In order to determine the correlations between depression, loneliness and need for social approval “multiple regression analysis”; in order to determine between-groups differences, “t-test” and “variance analysis” were used. The findings of the study have revealed that loneliness and need for social approval explains 22% of the total variance in depression. In terms of contribution to the model, loneliness was found to be a better predictor of depression than the need for social approval. Depression, loneliness and the need for approval were found to be not varying significantly depending on gender. Only need for social approval was found to be varying significantly depending on both the mother’s and the father’s education level. The findings are discussed focusing on the relationship between loneliness and the need for social approval and depression in university students.

scholarly journals Hubungan Struktur Modal Dan Profitabilitas: Analisis Perusahaan Infrastruktur pada Indonesian Stock Exchange Tahun 2012-2016

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Eddy Winarso, Francis M. Hutabarat
Keyword(s):  
Regression Analysis ◽  
Capital Structure ◽  
Significant Relationship ◽  
Stock Exchange ◽  
Statistical Software ◽  
Return On Equity ◽  
Correlation And Regression Analysis ◽  
Auto Correlation ◽  
The Relationship ◽  
The Capital Structure

The purpose of this research is to analyze the relationship between capital structure and profitability of infrastructure companies listed in SMINFRA18 on the Indonesia Stock Exchange from 2012-2016. The advantage of an appropriate capital structure can help companies to grow primarily in the profits of their companies. This research is descriptive-correlation and quantitative approach. The data used in this study is the Capital Structure and Profitability Data of Infrastructure Companies in the Indonesia Stock Exchange which are members of the SMINFRA Index. There are 18 companies listed in the index which are the best companies in the infrastructure industry. The ratio used to describe the capital structure is Debt to Equity and the profitability ratio used is Return on Equity. This study uses statistical software to analyze: Auto-correlation, Multicollinearity, Normality, Heterocedascity, Correlation, and Regression analysis. Thus, the results of the study show that there is a significant relationship between capital structure and profitability in the SMINFRA18 Infrastructure Company listed on the Indonesia Stock Exchange.Keywords: Capital Structure, Profitability, Infrastructure, return on equity

scholarly journals Adversity Quetient, Self Efficacy dan Kesiapan kerja Siswa Kelas XII Program Keahlian Multimedia SMKN 1 Kabupaten Jombang

2016 ◽  
Vol 5 (02) ◽  
Author(s):  
Ari Wibowo ◽  
Suroso .
Keyword(s):  
Regression Analysis ◽  
Self Efficacy ◽  
Work Readiness ◽  
Program Testing ◽  
Analysis Technique ◽  
Partial Analysis ◽  
T Values ◽  
Relationship Of ◽  
Linearity Test ◽  
The Relationship

This study aims to determine (1) The relationship adversity quotient with work readiness, (2) The relationship of self-efficacy with work readiness, (3) The relationship adversity quotient and self efficacy with work readiness student class XII Multimedia Skills Program of SMK 1 Jombang. The population of this study is all students of class XII Multimedia skills program of SMK Negeri 1 Jombang as many as 316 students. Data collection using a scale. The trials of research instruments conducted to the students of SMKN 2 Jombang as many as 80 students of class XII Multimedia Skills Program. Testing of prerequisite analysis includes normality test and linearity test. The data analysis technique used is the technique of multiple regression analysis. The results of this study are (1) Adversity Quetientand Self effiacy havepositive and significant impact to the Work Readiness of students class XII Multimedia Skills Program SMKN 1 Jombang. indicated by the test results of the regression analysis to get the value of the regression F = 13.049, p = 0.000 (p <0.01), (2) Adversity Quetient have positive and significant impact to the work readiness of students class XII of SMKN 1 Jombang.based on the results of the regression partial analysis found Regression t values between variables adversity quetient with work readiness = 4.266 and r partial = 0.437 and p = 0, 000 (p <0.01), (3) Self Efficacy has not positive and significant impact to the work readiness of students class XII of SMKN 1 Jombang indicated by the value of r partial correlation between self-efficacy with work readiness = 0.010, and the value of t regression = 089 and, with p = 0, 930 (p> 0.01).Keywords : Adversity Quotient, Self Efficacy, Job Readiness

scholarly journals THE SAFETY AND SECURITY OF THE TOURISM ENTREPRENEURSHIP POTENTIAL REALIZATION IN MODERN CONDITIONS

2020 ◽  
Vol 6 (5) ◽  
pp. 203-208
Author(s):  
Iryna Mazur ◽  
Ramil Aliyev ◽  
Yuliia Zhelizko
Keyword(s):  
Regression Analysis ◽  
Safety Information ◽  
Security Threats ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Tourist Flows ◽  
Political Security ◽  
High Level ◽  
The Impact ◽  
The Relationship

The purpose of the paper is to determine the relationship between different types of tourism safety and security, and components of the tourism entrepreneurship potential, to conduct a quantitative analysis of these indicators in the regions of Ukraine and to identify areas for ensuring the safety and security of the tourism entrepreneurship potential realization. Methodology. Analysis of tourism safety and security in Ukraine is based on the assessment of security potential indicator and the security threats indicator for 25 regions. These indicators take into account the following types of safety and security: security of tourist services, safety of tourist facilities and equipment, social security, political security, financial security, medical safety, information security, and ecological security. The impact of tourism safety and security on the tourism entrepreneurship potential realization is determined on the basis of correlation and regression analysis, where the indicator of the tourism entrepreneurship potential realization is the volume of domestic and inbound tourist flows in the region. The empirical basis of the study is the data of the State Statistics Service of Ukraine for 2019. The reliability of the regression model was tested on the basis of the approximation coefficient and Fisher's F-test. Results of the correlation analysis indicate a significant relationship between ensuring the safety and security of tourism in the region and the volume of domestic and inbound tourist flows. As a result of regression analysis, a model of a high level of reliability was obtained, which indicates how the volume of domestic and inbound tourist flows to the region increases with increasing the level of tourist safety and security by unit. Practical implications. Since the process of safety and security ensuring for the tourism entrepreneurship potential realization cannot be implemented exclusively at the regional level, it is justified the feasibility of a targeted public policy in eight areas. Value/originality. The identified relationship between the types of safety and security of tourism and components of the tourism entrepreneurship potential, as well as establishing the level of impact of safety and security of tourism on the tourism entrepreneurship potential realization in the region provide for a better understanding of ways for efficient governance in this area.

Sign in / Sign up

Export Citation Format

Share Document