Browsing by Author "Elshareif, Elgilani Eltahir"
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Item Assessing views towards energy sources with social media data: The case of nuclear energy in the UAE(MDPI, 2021-11) Contu, Davide; Elshareif, Elgilani Eltahir; Gurrib, IkhlaasInsights from the analysis of views towards energy sources are of paramount importance for the setting of successful energy policies, especially in instances where the public might be reluctant towards certain projects’ implementations. This work presents an analysis of social media comments data given in response to posts around the connection to the grid of a nuclear plant reactor in the United Arab Emirates (UAE). We assessed comments on Facebook posts of local and international media, as well those written in response to a post of a social media influencer. We extracted the main themes and performed sentiment analysis. The results indicate the presence of mixed views towards nuclear energy when focusing on comments on international media’s posts as well as on the social media influencer’s post considered, whilst they were very positive when assessing comments to local media. All in all, nuclear waste and previous nuclear accidents appear to be as the top of the mind; at the same time, solar energy is often suggested in the comments as a viable energy source for the UAE. Implications for the communication of nuclear energy developments in social media are discussed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).Item 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 EltahirThe 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 (www.dfm.ae ) and (www.nasdaq.com ) 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.Item Drivers of the next-minute Bitcoin price using sparse regressions(Emerald Publishing, 2023) Gurrib, Ikhlaas; Kamalov, Firuz; Starkova, Olga; Elshareif, Elgilani Eltahir; Contu, DavidePurpose: This paper aims to investigate the role of price-based information from major cryptocurrencies, foreign exchange, equity markets and key commodities in predicting the next-minute Bitcoin (BTC) price. This study answers the following research questions: What is the best sparse regression model to predict the next-minute price of BTC? What are the key drivers of the BTC price in high-frequency trading? Design/methodology/approach: Least absolute shrinkage and selection operator and Ridge regressions are adopted using minute-based open-high-low-close prices, volume and trade count for eight major cryptos, global stock market indices, foreign currency pairs, crude oil and gold price information for February 2020–March 2021. This study also examines whether there was any significant break and how the accuracy of the selected models was impacted. Findings: Findings suggest that Ridge regression is the most effective model for predicting next-minute BTC prices based on BTC-related covariates such as BTC-open, BTC-high and BTC-low, with a moderate amount of regularization. While BTC-based covariates BTC-open and BTC-low were most significant in predicting BTC closing prices during stable periods, BTC-open and BTC-high were most important during volatile periods. Overall findings suggest that BTC’s price information is the most helpful to predict its next-minute closing price after considering various other asset classes’ price information. Originality/value: To the best of the authors’ knowledge, this is the first paper to identify the covariates of major cryptocurrencies and predict the next-minute BTC crypto price, with a focus on both crypto-asset and cross-market information. © 2023, Emerald Publishing Limited.Item Internal Rate of Return (IRR): A New Proposed Approach(Springer Science and Business Media B.V., 2017) Mujahed, Murad Mohammed; Elshareif, Elgilani EltahirThis 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.Item New learners’ satisfaction with online education: a longitudinal study(Anadolu Universitesi, 2023) Saif-Ur-Rehman; Elshareif, Elgilani Eltahir; Khan, FaisalWith recent advancements in IT, internet systems and and the need for IT-driven society, particularly during Covid-19, online education (online learning, or e-leaming) has become inevitable to achieve the multiple objectives (such as cost-effective, time-efficient, quality enhancement, etc.) both for educator and learner. Keeping in view the importance of online education, the current study focuses on pedagogy of how to increase the efficiency of a learner. Therefore, this study is aiming to explore how these two dimensions of online learning style are used to measure new learners’ satisfaction with online education, for which this study focuses on identifying the role of a student-teacher-contact (STC) in exploring the degree of learners’ satisfaction with online education, and also applying the moderating effect of student-student contact (SSC). A total of 340 target respondents were surveyed in three phases. The results showed that STC interaction was insignificant during phase – I, whereas both interactions were found significant during phase – II & III. The research emphasizes that SSC in the presence of moderators has a significant determinant of the degree of new learners’ satisfaction with online education. In addition, the management of online learning institutions will realize that SSC is essential for achieving new learners’ satisfaction with online education. Since there is no sufficient literature on the moderating role of STC, this study is a valuable contribution to the existing body of knowledge © 2023, Turkish Online Journal of Distance Education.All Rights Reserved.Item Volatility Persistence and Shock Absorption Capacity of the Malaysian Stock Market(Springer Science and Business Media B.V., 2017) Elshareif, Elgilani Eltahir; Kabir, MuhammedItem A Web-Based Benchmarking Tool and Database for SMEs: Research in Progress(Springer Science and Business Media B.V., 2017) Ahmad, Norita; Maarof, Fariedah; Elshareif, Elgilani Eltahir; Opulencia, JadeThis research focuses on developing a standard benchmarking tool and database that can be used by SMEs in the UAE to evaluate themselves against their competitors. The project presents an adaptation of an existing tool, QuickView, already in use in the USA. The short-term objectives of the project are to determine whether QuickView could be usable in the UAE, and to test whether SMEs in the UAE could be evaluated against the 4000 US SMEs on the QuickView database. Eventually, the goal is to help SMEs in the UAE improve bottom-line performance by transforming their practices for competitive advantage. © 2017, Springer International Publishing Switzerland.