MSA University Academic Graduation Projects

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    The Impact of Merger and Acquisition on Financial Performance: Evidence From the Non-Banking Financial Sector of Egypt
    (October University for Modern Sciences and Arts, 2024) Abdelmoaty, Abdelrahman Waleed; Mohamed, Ali Nasser
    Abstract This study investigates the impact of merger and acquisition (M&A) on financial performance (FP) in the long term and the short term by investigating the M&A effects on profitability, liquidity, and leverage in the long term, and the short term by examining the market reactions to the M&A news through investigating the abnormal returns on the acquiring firms’ shares. The sample in this study consists of 19 M&A transactions that have been executed by non-banking financial firms and occurred between 2013 and 2021. A paired T-test is used to compare 2 years of pre- and post-M&A for the acquiring firm to investigate the impact on profitability, which is measured by net profit margin (NPM), return on assets (ROA), and return on equity (ROE). Liquidity is measured by the current ratio (CR) and cash-asset ratio (CAR). Leverage is measured by debt-to-asset ratio (DOA), and debt-to-equity ratio (DOE). For the short term, average abnormal returns (AARs), and cumulative average abnormal returns (CAARs) are used to investigate the market reaction to the merger news. The findings of this study indicated that the Debt-to-asset ratio increased significantly as well as the cash ratio, indicating that the firms were able to improve their creditworthiness and benefit from the lower cost of capital acquired through debt in addition to benefiting from the lower taxes generated from the financial synergy those firms gained. Moreover, horizontal M&As increased the DOA and NPM of the acquiring firms, while conglomerate M&As did not result in any improvements. On the other hand, the short-term data analysis revealed that the market reacted positively to the M&A announcements the acquiring company’s shareholders were significantly impacted by the merger and acquisition announcement and the shareholders of the acquiring companies had positive cumulative average abnormal returns on the event window. The findings of this study support the diversification theory due to the decreased risk and increased debt capacity that resulted from diversification. Moreover, the findings support the efficiency theory since the firms became more efficient through revenue and cost synergy which was gained from the M&A. Furthermore, the findings contradict the agency theory, as both, the principals, and the agents benefited from M&A and there was no conflict of interest between them.
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    Predictive maintenance in car production line
    (October University for Modern Sciences and Arts, 2024) Arafa, Abdelsalam; Ibrahim, Rahma
    I would to start this off by thanking my supervisor Dr. Mohamed Adel Ghannam for guiding me throughout the whole project, giving me the enough knowledge of handling a good-quality based information system design, and giving me the choice of providing expertise and high-quality professional documents from different multi-national companies that illustrate the appliance of good Information systems in real-life. Thank you for your continuous support, guidance, and advice! Also, I would like to raise a flag and thank my teaching assistants Markus Atef for their fantastic effort and support, by helping me out with my project, no such word can describe my gratitude to them of course.
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    Platform independent model of aquaponic management system
    (October University for Modern Sciences and Arts, 2024) Ghareeb, Kareem Mohamed; Youssef, Youssef Ahmed
    Acknowledgment We would like to thank Dr. Adel Ghanam for the supervision during the project and provide a insightful ideas and information to be used in this project also thanks to Dr. Ashraf Soliman for guiding us in the first phases of the project along with the Teaching assistance Dr. Tarek and Dr. Markus for the assistance and continuous feedback for this project to be delivered and completed. 4
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    Platform Independent Model of Air Pollution Controlling System in Industrial Area
    (October University for Modern Sciences and Arts, 2024) Ashraf, Aisha; Gamal, Mohamed
    Project Overview The Air Pollution Controlling System (APCS) is designed to confront the pressing global challenge of air pollution and its consequential contribution to climate change by regulating and controlling continuous industrial air emissions. This system operates by identifying and addressing harmful pollutants originating from industrial plants. Although it does not guarantee complete eradication, the APCS significantly reduces these pollutants through a cooperative blend of functionalities. Utilising modern Internet of Things (IoT) technology alongside advanced sensors such as stack monitoring sensor, emission analyzer sensor, volatile organic compound sensor, effluent analyzer sensor, and scrubber system, the APCS acquires and inspects data pertaining to pollutant types, emission levels, wastewater composition, and organic chemicals. The capability for continuous emission monitoring provides real-time insights into industrial emissions. Moreover, an external Short Message Service (SMS) alert system triggers the APCS to intervene and minimise harmful pollutants upon detection of elevated emission levels. The data gathered by the microcontroller is meticulously processed into comprehensive reports and presented on a web application accessible to both internal stakeholders and external observers, thereby ensuring transparency and enabling continuous monitoring. In essence, the APCS assumes a pivotal role in curtailing industrial emissions and mitigating their adverse environmental repercussions.
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    The Moderating Role of Board Size on the Impact of Gender Diversity on Dividend Decisions
    (October University for Modern Sciences and Arts, 2024) Sabrey, Abanoub Refaat; Samir, Beshoy Maged
    Abstract: This study aims to examine the relationship between Gender Diversity and Dividend Decision. Also, the moderating effect of board size has been analyzed on the relationship of Gender Diversity and Dividend Decision. Gender Diversity is the independent variable which is measured by the number of females on the board. While Dividend Decision is the dependent variable which is measured by total dividend divided net income. Moreover, the moderating variable which is Board Size measured by number of board directors. Also, there are some control variables which are Firm Size and Firm Profitability. Firm size measured by natural logarithm of total assets. While Firm Profitability measured by net income divided total assets. The sample of this study consisted of 40 Egyptian companies listed in EGX100 from 2018 to 2022 with 200 observations. We use the descriptive, correlation, and panel data analysis to test the research hypothesis. Finally, the results showed that Gender Diversity has negative significant relation on Dividend Decisions. Also, the results showed that Board Size has no effect on the relationship between gender diversity and dividend decisions.
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    The Role of Big Data Analytics in Moderating the Relationship Between Forensic Accounting and Financial Reporting Fraud
    (October University for Modern Sciences and Arts, 2024) Mohamed, Mohamed Ehab; Abdelnabi, Omar Abdelnabi
    Abstract The purpose of the study is to examine the role of big data analytics in moderating the relation between forensic accounting and financial reporting fraud. This study conducted a survey with total respondents of 154 accountant and auditor in Egypt. In order to test the research hypotheses, descriptive analysis, correlation analysis, reliability test, and validity test are used. The results indicated that companies that apply forensic accounting have higher rates of financial reporting fraud detection and have a more reliable financial statements. Also the results indicated that when big data is placed as a moderating variable in the relation, it had negative significant weak effect on financial reporting fraud
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    The Impact of Gender Diversity on Sustainable Performance and Firm Size as a Moderating Variable
    (October University for Modern Sciences and Arts, 2024) Moamen, Yasmine; Samir, Aya
    Abstract This research investigates the impact of gender diversity on the sustainable performance of Egyptian firms, focusing on three dimensions: environmental, economic, and social. The paper tests the relationship between both the independent and dependent variables under different conditions by having firm size as its moderating variable, with firm age and leverage as control variables to maintain internal validity. A sample of 35 non-financial companies listed on the Egyptian Stock Market (EGX100) has been considered from 2018 through 2022. The independent variable, gender diversity, is quantified by counting the number of women on board while sustainable performance is measured by a unique sustainability performance index. Moreover, the data was extracted from corporate governance reports, annual reports, and ESG reports and then analyzed on STATA. An empirical study that involved descriptive statistics, pairwise correlations, and panel data regression was utilized to test the hypotheses of this study. Furthermore, the results showed an insignificant impact between gender diversity and sustainable performance, however, the relationship between both variables becomes positive when firm size is taken into account.
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    Evaluating the Impact of Fintech on Banks Profitability:
    (October university for modern sciences and arts MSA, 2024) Shaker, Mina Ayman Mikhaeel; Abdelkader, Menna Talla Khaled Mohamed
    The main objective of this research is to examine the impact of Fintech on the profitability of the banking sector in Egypt in the time frame from 2015 to 2022. The digital innovations and the integration of technology with the different fields led to asking how this could affect the banking sector's profitability, especially at that time frame as Egypt started to implement SDGs and put its vision to 2030. So, that's important for the research to determine how Egypt succeeded or not to apply Fintech and gain its profits from banks. To measure how the fintech is affected ,the research depended on the DIG score to measure fintech which is the measure of digital engagements of the banks through the annual reports as the score calculated in content analysis is the result of how the bank implements the technology innovations. Additionally, the bank's profitability that measured by the bank's return on assets to examine its relation with the fintech. In addition to the mediating role of operating efficiency that considered to be facilitated by fintech to achieve the improvement of bank profitability as it's the indicator of how the fintech impacts the cost of banks' operations. Moreover, the research considered the bank size as a moderating effect to enhance the level of developing fintech and bank profitability. The research depended on a sample of 16 Egyptian banks including 13 conventional banks and 3 Islamic banks. As for methodology the test used to determine the significance of the variables is the generalized method of moments (GMM). However, the results represented a significant and negative relation between the fintech and bank profitability due to the high cost of digitalization and the macroeconomic factors in Egypt. The results showed also the significant and positive impact of operating efficiency on the bank's profitability. On the other side, it's found that bank size has a significant but negative relationship as a moderating effect due to the decrease of bank deposits that affected banks' assets. Accordingly, it recommended to the policymakers in Egypt to facilitate more fintech innovations in the banking sector although the negative relation as it expected to achieve higher profitability in the future as that will boost the digital transformation to the people with high benefit to the banks in terms of profitability and attracting the foreign direct investors in the long term. The efficient structure theory and the agency theory support the findings. The Diffusion of Innovation Theory, the Technology Acceptance Model, the Market Power Theory, the Fundamental Theory, and the New Growth Theory, on the other hand, contradict the findings. However, it is anticipated that these theories will eventually support the findings in the long term with the positive correlation between fintech and bank profitability.
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    Evaluating the Effect of Firm Characteristics on Working Capital Behavior
    (October university for modern sciences and arts MSA, 2024) Ismail, Yehia; Nafez, Yehia
    This study aims to investigate the relationship between firm characteristics and working capital behavior. The sample is 78 non-financial companies listed in the EGX 100 the sample was finalized in 55 companies due to missing data in 23 companies. The findings of this study show that operating cash flow, leverage, firm performance and firm age had a significant impact on working capital. Additionally, growth opportunities, firm value, firm size and economic conditions had an insignificant impact on working capital. Certain limitations are discussed in the study with offering suggestions for future researchers. Further, the authors offer decision- makers plenty of recommendations. Lastly, this study contributes to the existing body of literature by filling the existing empirical research gap.
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    Assessing the Impact of Investor Sentiment on the G7 Stock Markets Performance
    (October university for modern sciences and arts MSA, 2024) Walaa Eldin, Arwa; Mohamed, Habiba
    This research aimed to investigate the impact of investor sentiment on stock market performance in G7 countries from 2005 to 2023. The investor sentiment was measured by the global indices of investors’ optimism “CCI”, and the investor fear “VIX”, while utilizing COVID-19 as a moderator and geopolitical risk measured by the GPR index as a control variable. The sample of data collected the monthly stock returns for the main indices for each of the G7 countries from January 2005 to October 2023. Overall, the research employed a fixed effect regression model “FEM” to attain its findings. The results of the models showed a significant positive impact of investor optimism on the G7 stock market returns, while a significant negative impact on VIX, even with the moderating effect of COVID-19. However, the control variable geopolitical risk was statistically insignificant, so it did not impact the G7 stock market returns statistically and COVID-19 was significant as a dummy variable. Thus, it was concluded that investor sentiment significantly impacts the G7 stock market returns.