One of the central factors influencing the banks in the UAE is the changing needs and perceptions of the customers towards digital banking services. With this significance, the researcher made an attempt to study commercial banks' digital paradigm and customer's responses. Based on this, the volume of business and the customer's top 11 banks were identified for the study. For collecting data from the respondents pretested scheduled questionnaire was used. In order to finalize the number of samples the researcher calculated standard deviation and found the sample size was 350. Collected data was analyzed by the researcher to know the impact of digital banking services and the customer responses. The researcher has done an inferential analysis followed by descriptive analysis. This analyst recognized factors, which were embraced amid the examination included; privacy, reliability, technology, convenience, security, and satisfaction. Among every one of the elements, innovation and accommodation reflected negative connection thinking about negative effect by and large consumer loyalty.
Banks in UAE vary in their sizes, growth, market share, levels of market competition, complexity of financial instruments, etc. that impact their profitability. This reflects their management activities and, more generally, the way they develop and implement banking strategies that ensure growth and value creation and balancing out interests of all stakeholders involved. The researcher has a desire to have an in-depth understanding of banks in UAE. Considering how the banks are risk tolerant, manage different operations and departments, formulate strategy, and incorporate appropriate corporate culture, the researcher attempted to know the effect of corporate governance on banks performance. The area of this research is not easy to find a comprehensive topic in, at least not in the Middle East. The motivation behind this paper is to explore the UAE national banks' practices of corporate governance. The researcher analyzed corporate governance framework in UAE banks to study whether it help develop a sustainable risk/reward strategy for the banking industry in UAE. In order to examine the relationship between corporate governance and performance in UAE banks, the researcher prepared a detailed questionnaire to and collected data from the respondent. The research hypothesis was there is no correlation between the indicators of CG and the indicators of profitability in UAE commercial banks for 2017. The importance of this study revolves around the fact that the relationship between stakeholders and return levels are highly related to the finance and banking sector, and governance structure of any bank is fundamental to its existence; therefore, the role of CG is of great importance, and conducting practices and processes and formulating appropriate actions that could adapt to any risk level and provide the right alternative set of actions is important. The researcher attempted to study and test the causes that CG has on the bank performance. This causal study type of research leads us to classify it mainly into the explanatory type. Even though there is a description at the beginning about CG and profitability of banks, the ultimate goal is to test the impact of CG on banks profitability. The researcher employed the CG Index, descriptive statistics, correlation matrix, and multivariate regression to analyze the relationship between CG implementation and UAE banks' performance and test the hypotheses. Findings of the study revealed that several banks in UAE handle CG in a “checklist” approach, different from other regions which apply governance into practice. CG also handles the non-financial aspects. An important CG model has been developed by COSO that helps banks achieve their performance objectives in a management-adjusted way. It is assumed under normal conditions that the CG enhances bank performance. However, this depends on the quality of corporate governance implemented. The variables taken into account that would have a positive effect on performance were all the control variables. The regression models that were used to test the hypotheses did not support it. The effect of CG indexes showed that CG does not automatically result in better performance. Validity tests showed that model has to be improved, considering some moderate evidence on ROE. Forty percent of the variation in the ROE and a small amount of variation in ROA and PM are explained by the predictor variables used. An important CG model has been developed by COSO that helps banks achieve their performance objectives in a management-adjusted way. It is assumed under normal conditions that the CG enhances bank performance.
The paper’s goal is to determine the current state and trends of Fintech development in the United Arab Emirates’ (UAE) financial sector, customer satisfaction with financial technology implementation in the banking sector, and the impact of financial technologies on the efficiency and competitiveness of financial and banking institutions. Qualitative research conducted through a structured questionnaire is designed to collect data from 500 banking service clients in the UAE. The data was collected through email communication and WhatsApp using Google forms. The data was evaluated using the Likert scale of five-point: 1 = strongly disagree to 5 = strongly agree. According to the survey results, the majority of respondents are familiar with FinTech services. The most demanded FinTech service was an app for financial management. Furthermore, the majority of respondents stated that the services they supplied were innovative to them, and the same percentage stated that they were pleased with the services given by their banks. Hence, better service associated with FinTech is seen as a major incentive for them to leave their current bank to the digital one. In addition, when selecting a bank, reliability is the most important criterion, with ease of use of its services ranking in second.
This study aims to examine the impact of macroeconomic factors on the stock return volatility along with the pricing of risk, and asymmetry and leverage effect on a comparative basis for the USA and UAE markets. Further, these three dimensions are also investigated with regard to various firm's features (such as firm's size and age). The daily data for the period 4th January 2010 to 29th December 2017 of firm stock returns from the New York Stock Exchange (NYSE), the Abu Dhabi Securities Exchange (ADSE), and the Dubai Financial Market (DFM) is considered and three time-series models were applied. The results from GARCH (1. 1) indicated that all the economic factors have significant impact on the stock return volatility in both the markets. Similarly, the study also found evidence of asymmetry & leverage effect using EGARCH in the NYSE (for all firms) and the UAE (partially). Finally, for a majority of the firms, a positive risk-return relationship is found in the UAE and a negative risk-return relationship is found in the NYSE using GARCH-in the mean. Interestingly, these results in context of both markets were different with respect to various firm features such as firm size and age. In light of these results, it is concluded that both the markets have different dynamics with regard to all three dimensions. Hence, the investors have a clear opportunity to diversify their risk and investments across developed and emerging markets.
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