Finance and banking

Studying household income is one of the most critical issues in poverty theory and income distribution. This research aims to identify and examine determinants of household income in Mazar-e-Sharif. The study is a descriptive-analytical methodology approach, and in terms of practical purpose, this study is applied research conducted a cross-sectionally with a microeconomic approach at the local level. The sample size included 200 households from the six sites of Mazar-e-Sharif in the year 2020, which were sampled through Be selected by chance. The data collection tool is an individual questionnaire conducted and collected by the researcher, which was analyzed by SPSS software using a regression model and developed econometrics model. The research findings show that the proposed regression model can predict 42.2% of the dependent variable. Furthermore, the analysis of regression model shows that the education of the head of household, members with contractual employment, number of em...

Financial and credit institutions, often known as non-bank financial institutions, are institutions that act as financial market intermediaries. In many ways, their services are comparable to those offered by banks. So, in Balkh province, research on the relationship between financial risks and the financial performance of these institutions and exchange dealers is particularly significant. In order to determine the consequences of these financial risks, they were separated into two groups and assessed using two hypotheses in this study. The impacts of each variable were estimated using a multivariate regression model. The independent variables in this model are systematic risk and credit risk, with the dependent variable of return on assets serving as a proxy for the financial institution's performance. The statistical population of this study includes exchange dealers and financial institutions in Mazar-e Sharif's Kefayat market, with 110 samples picked using a random sampling approach. The results demonstrate that all of the study variables that were tested at the 0.05 percent level of significance. The findings also shows that there is meaningful and significant relationship between foreign exchange risk, market risk, interest rate risk, and purchasing power risk on the MXDs' financial performance. For each indication of systematic risk variable, the beta coefficients are-0.168,-0.178,-0.102,-0.231, respectively. The components of the research's second hypothesis demonstrate a substantial association between credit risk and default risk trend on financial performance, as well as the power of correlation with ROA, which are-0.068 and-0.378, respectively

Financial and credit institutions, often known as non-bank financial institutions, are institutions that act as financial market intermediaries. In many ways, their services are comparable to those offered by banks. So, in Balkh province, research on the relationship between financial risks and the financial performance of these institutions and exchange dealers is particularly significant. In order to determine the consequences of these financial risks, they were separated into two groups and assessed using two hypotheses in this study. The impacts of each variable were estimated using a multivariate regression model. The independent variables in this model are systematic risk and credit risk, with the dependent variable of return on assets serving as a proxy for the financial institution's performance. The statistical population of this study includes exchange dealers and financial institutions in Mazar-e Sharif's Kefayat market, with 110 samples picked using a random sampling approach. The results demonstrate that all of the study variables that were tested at the 0.05 percent level of significance. The findings also shows that there is meaningful and significant relationship between foreign exchange risk, market risk, interest rate risk, and purchasing power risk on the MXDs' financial performance. For each indication of systematic risk variable, the beta coefficients are-0.168,-0.178,-0.102,-0.231, respectively. The components of the research's second hypothesis demonstrate a substantial association between credit risk and default risk trend on financial performance, as well as the power of correlation with ROA, which are-0.068 and-0.378, respectively

Society and organization can move forward and rapidly in the path of development by
equipping their human resources with productive entrepreneurial knowledge and skills by creating
the necessary conditions for them. Given the role and importance of young entrepreneurship and
the brilliant history of youth entrepreneurs in the development of many countries, removing the
challenges and barriers of youth entrepreneurship can increase employment among youth. One of
these barriers is the financing and fund raising of entrepreneurial ideas among young entrepreneurs
due to the inappropriate conditions to obtain loan and/or lack of own savings for starting new
business. The purpose of this study is to determine determinants of financial barriers into youth
entrepreneurship. Fifty young entrepreneurs select as the sample size of the research and randomly
interviewed by the approved questionnaire. Optimal scale regression model is formed to determine
the coefficient determinants of each independent variable on initial investment of youth
entrepreneurs. The result of the research shows that beta coefficient correlatin of “lack of financial
resources and insufficient personal saving” is 0.182, this value for “insufficient of lending center”
is 0.33 and for “cost of financing and interest rate” is 0.347, beta value for “complexity of
documentation is 0.291, for “lack of sufficient collateral” is 0.296 and finally the beta value of
“lack of knowledge on financing scheme” is 0.201.
Key words: Entrepreneurship, financial barriers, youth entrepreneurship, youth