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Now showing 1 - 5 of 12
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    Do Vaccines’ Announcements Cure Stock Market Volatility? Evidence From the Gulf Cooperation Council (GCC) Markets
    (Universiti Putra Malaysia, 2022) Elshareif, Elgilani; Kabir, Muhammed; Contu, Davide; Mujahed, Murad
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    The Assessment of the Global Financial Crisis on Dubai Financial Market Performance
    (Springer Science and Business Media B.V., 2017) Jarouf, Ahmed K. Al; Mansoori, Mohammed Al; Nooraddin, Suzan; Elshareif, Elgilani Eltahir
    The United Arab Emirates (UAE) has implemented its long-term vision 2021. The main goal of this vision is to diversify the economic activity to edge up on the back of non-oil sector, despite the fact that UAE’s economy is considered one of the most diversified economies across the region. The significant drop in oil prices in addition to performances of other global markets represents a challenge for Dubai stock market. This may have an important effect on the share prices of Dubai stock market and its performance. In this chapter, we collect market data for oil prices, US NASDAQ Composite, and DFM from the official website of Dubai Financial Market ( ) and ( ) to explore the patterns of pre-after the global financial crisis performance and to observe the performance of the Dubai financial market in comparison to NASDAQ. We also look at the impact of drop in oil price on the performance of DFM. Our results support that the DFM performed well after the crisis. However, the lower oil prices have reversed this situation. © 2017, Springer International Publishing Switzerland.
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    Internal Rate of Return (IRR): A New Proposed Approach
    (Springer Science and Business Media B.V., 2017) Mujahed, Murad Mohammed; Elshareif, Elgilani Eltahir
    This study tries to develop a new internal rate of return (IRR) approach assuming constant and positive cash flows. The traditional IRR method is implicitly based on trial and error that needs two initial guesses and slowly converges to the solution. The development so far was based on Newton–Raphson methods that reduce the two guesses to only one guess with quadratic convergence. However, this development has many limitations such as divergence at inflection points and pitfalls like division by zero. The progress of our study so far is to eliminate the initial guess with assumption of equal series of positive cash flows. Further, the expected finding of the new approach will assist practitioners and academics to compute the IRR accurately as the rate of return on the declining balance of the investment, analogous to the YTM on a premium bond and the contract rate on a fully amortized loan. © 2017, Springer International Publishing Switzerland.
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    Volatility Persistence and Shock Absorption Capacity of the Malaysian Stock Market
    (Springer Science and Business Media B.V., 2017) Elshareif, Elgilani Eltahir; Kabir, Muhammed
    Estimation of the extent of volatility in stock markets induced by external shocks and the persistence of it is very important and has policy significance for the macroeconomic policy makers, central bankers, and the financial market participants. In the current study, we examine the overestimation bias of volatility and its persistence using EGARCH-M models for the Malaysian stock market composite index (KLCI), as well as three sub-sectoral indices. The empirical evidence shows that there are asymmetric responses by the stock indices whereby volatility originating from ascending versus descending stock market has different impacts. In addition, we have found that the volatility is highly persistent and the shock absorption capacity of the stock market has been underestimated. However, this finding suggests that there might have been some estimation bias due to misspecification of the model. This implies that the policy makers and market participants must exercise caution in drawing conclusions from this class of models. © 2017, Springer International Publishing Switzerland.
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    The effects of E-learning on students’ motivation to learn in higher education
    (The Online Learning Consortium, 2021) Elshareif, Elgilani; Mohamed, Elfadil Abdalla
    The recent COVID-19 pandemic has forced educational institutions worldwide to adopt e-learning. UAE higher education institutions have implemented e-learning systems and programs to cope with this unprecedented situation. This paper measured the strength of association between key aspects of e-learning systems and programs and students’ motivation to learn in Ajman University (AU). Cronbach’s coefficient alpha was used to test the internal consistency reliability of key aspects of e-learning (EL-8) and students’ motivation to learn (SML-16). Exploratory factor analysis was used to test the validity of, and coherence of patterns in, the data. Parametric and non-parametric methods were used to investigate the strength of association between key aspects of e-learning and students’ motivation to learn in AU. The results indicated that motivation variables were more strongly correlated with both e-teaching materials and e-assessments key aspects relative to others such as e-discussion, and e-grade checking and feedback. © 2021, The Online Learning Consortium. All rights reserved.