Bachelor of Art

URI for this collectionhttps://rps.wku.edu.et/handle/987654321/113

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Subject: search.filters.subject.Determinants,

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    DETERMINANT OF COMMERCIAL BANKS PROFITABILITY IN ETHIOPIA (CASE STUDY SELECTED COMMERCIAL BANKS IN ETHIOPIA)
    (WOLKITE UNIVERSITY, 2021-01) SENTAYEHU ALEMU, SENTAYEHU
    The aim of this study was to investigate the effect of bank-specific and macroeconomic determinants of commercial bank profitability in Ethiopian. The study was selected six commercial banks from year 2010 to 2017. The study was used an explanatory type of research design and it would be use secondary financial data and Fixed effect regression model was applied to examine the impact of bank size, capital adequacy, management efficiency, loan to deposit ratio, funding cost, foreign exchange rate, GDP and inflation rate on profitability. Return on assets (ROA) was use as a measure of profitability. The major examining of the study would be showing that management efficiency and inflation rate was statistically significant and positive relationship with banks’ profitability. Funding cost, bank size, foreign exchange rate and GDP have a negative and statistically insignificant relationship with banks’ profitability. Also the relationship for capital adequacy and loan to deposit ratio was found to be positive relationship with profitability and statistically insignificant. The study suggests focusing and redesigns the firms together with significant key internal and external drivers of profitability of commercials banks in Ethiopia.
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    DETERMINANT OF BANKING SECTOR DEVELOPMENT IN ETHIOPIA
    (WOLKITE UNIVERSITY, 2021-01) HAYMANOT ASNAKE, HAYMANOT
    The aim of this study was to investigate the effect of bank-specific and macroeconomic determinants of banking sector development in Ethiopian. The study was selected seven banks from year 2008 to 2017. The study was used an explanatory type of research design and it would be use secondary financial data. Random effect regression model was applied to examine the impact of management efficiency, financial openness, trade openness, economic growth rate and inflation rate on banking sector development. Credit to growth domestic product rate (CTGDPR) was use as a measure of banking sector development. The major examining of the study would be showing that inflation rate was statistically insignificant and positive relationship with banks’ sector development. Financial openness, trade openness and management efficiency have a positive and statistically significant relationship with banks’ sector development. Also the relationship for economic growth rate was found to be negative relationship with banks sector development and statistically significant.
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    DETERMINANTS OF CAPITAL STRUCTURE IN ETHIOPIAN MICROFINANCE INSTITUTIONS
    (WOLKITE UNIVERSITY, 2021-01) FEWZEDIN NURSEBO
    Capital structure is the mixture of debt and equity financing. Its choice and determinants related to many different factors. Studies indicates that the capital structure of Microfinance Institutions have significant impact on the sustainability and outreach of these organizations. Hence, studying the factors that determine the capital structure of these organizations is essential. Although the capital structure of financial firms has been studied by some scholars, such types of studies are rare in theMFI sector. Thus the purpose of this study is to investigate the determinants of capital structure in the Ethiopia MFI industry. To accomplish the objective of the study the explanatory research design has been employed. The researcher would use secondary data of 8 sample MFIs (Buusa Gonofaa micro finance s.co, Wasasa microfinance Institution, dynamic microfinance Institution s.co, Poverty eradication and community empowerment (Peace) ,Amhara credit and saving institution (ACSI), Dedebit credit and saving institution (DECSI),ossco microfinance institution & Omo microfinance institution.) that fulfill the criteria of data availability from the association of micro finance institutions (AMIS) and annual report of national bank of Ethiopia (NBE) database covering the period of 2010–2018and the study includes five determined factors. A panel data using Random Effect Multiple Regression model would be used to analyze the standard determinants of capital structure.