يوسف حسين الطوالبة

The study aimed to investigate the impact of small and medium enterprises (SMEs) funding on, gross domestic product (GDP) and unemployment, as well as the amount of funding provided by the specialized institutions, and to identify the obstacles that these projects face in obtaining funding. The study population included the SMEs institutions in Jordan between the years 2009 and 2018. The study sample was limited to the Development and Employment Fund in Jordan as one of the most important SMEs funding institutions. Analytical and descriptive method was used to test the hypotheses, the simple regression model used to test the hypotheses of the study through the statistical model (SPSS). The most important finding of this study was the statistically significant impact of financing the SMEs on GDP and unemployment, the study model was able to show 95% of changes in economic development. The study recommended facilitating the provision of financing for SMEs and training the workers in these projects to improve their skills in managing their projects and conducting the appropriate financial analysis for the continuous evaluation of these projects to have positive effects on economic development. The researcher also recommends more analytical studies to reach more accurate results.

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Mohammad Abdel Mohsen Al-Afeef

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Journal: International Journal of Economics and Financial Issues

The study aimed to investigate the impact of small and medium enterprises (SMEs) funding on, gross domestic product (GDP) and unemployment, as well as the amount of funding provided by the specialized institutions, and to identify the obstacles that these projects face in obtaining funding. The study population included the SMEs institutions in Jordan between the years 2009 and 2018. The study sample was limited to the Development and Employment Fund in Jordan as one of the most important SMEs funding institutions. Analytical and descriptive method was used to test the hypotheses, the simple regression model used to test the hypotheses of the study through the statistical model (SPSS). The most important finding of this study was the statistically significant impact of financing the SMEs on GDP and unemployment, the study model was able to show 95% of changes in economic development. The study recommended facilitating the provision of financing for SMEs and training the workers in these projects to improve their skills in managing their projects and conducting the appropriate financial analysis for the continuous evaluation of these projects to have positive effects on economic development. The researcher also recommends more analytical studies to reach more accurate results.

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Mohammad Abdel Mohsen Al-Afeef

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Journal: International Journal of Economics and Financial Issues

This study aimed to investigate the most factors that affect market capitalization. The study was applied to all companies listed on Amman Stock Exchange (ASE) for the period (1978-2019), as a case study. Secondary data were collected from (ASE), and the analytical method was followed by using the multiple regression models through a statistical program (SPSS). The result shows that there is a statistically significant effect of (No. of Transactions, Turnover Ratio, EPS, Dividend Yield Ratio, P/BV, P/E) as independent factors on the market capitalization as a dependent factor, the explanatory power of the model was (Adjusted R Square= 87%), which means that (87%) of the changes in Market Capitalization are due to the independent factors used in this study, and (13%) of the changes due to other factors. In addition, the sub hypotheses of the study were tested to find the effect of factors individually on the market capitalization. The results shows that there is a statistically significant effect for each of (No. of Transactions, EPS, Dividend Yield Ratio, P/E), on the market capitalization, as well as there is no statistically significant effect for each of the factors (Turnover Ratio, P/BV) on the market capitalization. The results of this study need to be adopted to help analysts and investors make informed investment decisions because this study used more factors than previous studies for a long period of time and for all companies listed on the ASE.

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Al-Afeef, Mohammad Abdel Mohsen

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Journal: INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH

This study aimed to investigate the most factors that affect market capitalization. The study was applied to all companies listed on Amman Stock Exchange (ASE) for the period (1978-2019), as a case study. Secondary data were collected from (ASE), and the analytical method was followed by using the multiple regression models through a statistical program (SPSS). The result shows that there is a statistically significant effect of (No. of Transactions, Turnover Ratio, EPS, Dividend Yield Ratio, P/BV, P/E) as independent factors on the market capitalization as a dependent factor, the explanatory power of the model was (Adjusted R Square= 87%), which means that (87%) of the changes in Market Capitalization are due to the independent factors used in this study, and (13%) of the changes due to other factors. In addition, the sub hypotheses of the study were tested to find the effect of factors individually on the market capitalization. The results shows that there is a statistically significant effect for each of (No. of Transactions, EPS, Dividend Yield Ratio, P/E), on the market capitalization, as well as there is no statistically significant effect for each of the factors (Turnover Ratio, P/BV) on the market capitalization. The results of this study need to be adopted to help analysts and investors make informed investment decisions because this study used more factors than previous studies for a long period of time and for all companies listed on the ASE.

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Al-Afeef, Mohammad Abdel Mohsen

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Journal: INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH