Search Results for financial-flexibility
Abstract
The form of estimating, analyzing and interpreting the mechanism and channels of influence that financial flexibility can have with its sub-indices represented by (Liquidity CU, Financial Leverage (FL), towards the value of the company (MVA) for a sample of companies listed on the Iraq Stock Exchange consisting of six companies and for the period (2012-2022).), the main goal that the research sought to achieve. To achieve this, in addition to proving its hypotheses, the research adopted the sum of pooled averages methodology based on the Autoregressive Distributed Lag and Pooled Mean Group (PMG/ARDL) methodology, based on data. The Balanced Longitudinal Panel Data, with a number of views amounting to (66) views, and its experimental results came to confirm that high levels of financial flexibility, whether through an increase in the liquidity index or through a decrease in the financial leverage index, are usually accompanied by positive effects on the company value index on... Long term due to the positive impact that financial flexibility has on the rise in the total market value of securities listed on the financial market, This calls for companies to pay attention to financial flexibility indicators and adopt them as a guide in their work because of their significant and effective role in controlling their sources of financing, protecting them from the risk of default, and supporting their ability to seize available investment opportunities, as well as confronting and overcoming financial crises by increasing the size of their assets compared to their debts and ensuring the availability of... Liquidity below the acceptable level.
Abstract
The research aims to test the financial equilibrium in the Iraqi commercial banks, by utilizing a sample of (9) commercial banks listed in the Iraqi Stock Exchange, for the period (2004-2019). Four financial indicators have been chosen, to measure the financial equilibrium are (liquidity index, profitability index, index financial flexibility, solvency index), and the descriptive and analytical approach was used for the data and information contained in the reports and statements of the research sample banks. Moreover, (Excel-2010) and (SPSS.V.22), to test the hypothesis and answer the question related to the problem of the study and reaching the goals, and as the research reached a set of results. the main finding of this study do not suffer from a financial imbalance resulting from weakness in its four dimensions. Furthermore, this research recommend that, the banks should evaluates its financial performance on an ongoing basis, using indicators of financial equilibrium for its importance in the strength of The financial position of any company with financial activity.
Abstract
Artificial intelligence (AI) applications are essential for enhancing payment security and improving customer experience in financial institutions. This research aims to examine the challenges faced by Mastercard in Australia and Visa in Singapore in implementing these technologies. The study focuses on three main areas: challenges related to fraud and privacy, the strategies employed by both companies to address these challenges, and the impact of AI applications on customer satisfaction and trust. The research adopts an analytical methodology that combines both qualitative and quantitative data, relying on diverse sources including academic studies and annual reports. The findings reveal that the effectiveness of AI applications varies across the two markets, reflecting different responses to local challenges. For instance, Mastercard demonstrates a greater reliance on machine learning technologies in Australia to combat fraud, while Visa in Singapore focuses more on enhancing privacy and data protection. The study offers strategic recommendations aimed at improving payment security and customer experience, such as increasing transparency in data usage and strengthening communication with customers. This research contributes to a deeper understanding of the role of AI in financial services, providing valuable insights for companies and practitioners in the sector. By addressing the unique challenges of each market, customer satisfaction can be enhanced and greater trust in digital payment services can be fostered.