Effects of Macroeconomic Variables on Stock Prices in Malaysia: An Approach of Error Correction Model

This paper attempts to examine the short-run and long-run causal relationship between Kuala Lumpur Composite Index (KLCI) and selected macroeconomic variables namely inflation, money supply and nominal effective exchange rate during the pre and post crisis period from 1987 until 1995 and from 1999 until 2007 by using monthly data. The methodology used in this study is time series econometric techniques i.e. the unit root test, cointegration test, error correction model (ECM), variance decomposition and impulse response function. The findings show that there is cointegration between stock prices and macroeconomic variables. The results suggest that inflation, money supply and exchange rate seem to significantly affect the KLCI. These variables considered to be emphasized as the policy instruments by the government in order to stabilize stock prices.Kuala Lumpur Stock Exchange, Money Supply, Nominal Effective Exchange Rate, ECM

Asymmetric Impact of Oil Prices and Stock Prices on Bank’s Profitability: Evidence from Saudi Islamic Banks

The soundness of financial institutions including banks depends on both internal factors and external factors. The profitability of the banks largely affected by external shocks like oil prices and stock prices. As an oil-exporting country, Saudi economy particularly its banking sector largely rely on the oil prices. This study examines the asymmetric impact of oil prices and stock prices on Saudi Islamic banks’ profitability for the period 2000-2020. Two Saudi Islamic banks’ profitability is examined by the factors like Return on Equity (ROE) and Return on Assets (ROA) with the help of a nonlinear autoregressive distributed lag (NARDL) model. The estimated results are observed to be unbiased and robust. The results of this study show that OILP and STOCKP have significant role in determining the Islamic banks’ profitability in Saudi Arabia. Both higher oil prices and stock prices have positive influence on ROE and ROA of Saudi Islamic banks. This study suggest that development and efficiency of Saudi stock market is important and macroeconomic policy should support the country’s economic diversification. The management of Islamic banks need to focus on effective risk assessment and market monitoring tools to face the fluctuation of oil prices and their stock prices as these factors affect their profitability. Besides, Saudi Islamic banks need to diversify their investment portfolios into more productive and export oriented private sectors such as Small Medium Enterprises (SMEs). This strategic policy will enable Islamic banks to absorb any future shock of oil prices without affecting their profitability.

Asymmetric Impact of Oil Prices and Stock Prices on Bank’s Profitability: Evidence from Saudi Islamic Banks

The soundness of financial institutions including banks depends on both internal factors and external factors. The profitability of the banks largely affected by external shocks like oil prices and stock prices. As an oil-exporting country, Saudi economy particularly its banking sector largely rely on the oil prices. This study examines the asymmetric impact of oil prices and stock prices on Saudi Islamic banks’ profitability for the period 2000-2020. Two Saudi Islamic banks’ profitability is examined by the factors like Return on Equity (ROE) and Return on Assets (ROA) with the help of a nonlinear autoregressive distributed lag (NARDL) model. The estimated results are observed to be unbiased and robust. The results of this study show that OILP and STOCKP have significant role in determining the Islamic banks’ profitability in Saudi Arabia. Both higher oil prices and stock prices have positive influence on ROE and ROA of Saudi Islamic banks. This study suggest that development and efficiency of Saudi stock market is important and macroeconomic policy should support the country’s economic diversification. The management of Islamic banks need to focus on effective risk assessment and market monitoring tools to face the fluctuation of oil prices and their stock prices as these factors affect their profitability. Besides, Saudi Islamic banks need to diversify their investment portfolios into more productive and export oriented private sectors such as Small Medium Enterprises (SMEs). This strategic policy will enable Islamic banks to absorb any future shock of oil prices without affecting their profitability

Academic Use of Smartphones in Secondary Level Education in Bangladesh: A Non-Parametric Approach

This study aims to examine the use of smartphones for educational purposes and the acceptance of online learning among secondary students. To investigate the academic utilization of smartphones among secondary students in Bangladesh, a sample of 384 students from different districts of Bangladesh were surveyed. The survey was conducted using a selfadministered, semi-tailored computerized questionnaire. The collected data was analyzed using IBM SPSS statistics 26 and the Mann-Whitney U test. The findings indicate that male students used smartphones for educational purposes with greater confidence and less difficulty than female students. On the other hand, students in 8th to 10th grade classrooms reported a greater willingness to use smartphones for academic purposes, with urban students being more enthusiastic than their rural peers. The study’s findings have implications for the government, policymakers, educators, and non-governmental organizations (NGOs). They highlight the importance of ensuring equal access to resources and tools that support academic success, as well as addressing the adverse effects of excessive smartphone usage. In addition, the government and NGOs should prioritize the elimination of inequities between rural and urban areas and provide subsidies to rural students

Application of Computer Vision and Mobile Systems in Education: A Systematic Review

The computer vision industry has experienced a significant surge in growth, resulting in numerous promising breakthroughs in computer intelligence. The present review paper outlines the advantages and potential future implications of utilizing this technology in education. A total of 84 research publications have been thoroughly scrutinized and analyzed. The study revealed that computer vision technology integrated with a mobile application is exceptionally useful in monitoring students’ perceptions and mitigating academic dishonesty. Additionally, it facilitates the digitization of handwritten scripts for plagiarism detection and automates attendance tracking to optimize valuable classroom time. Furthermore, several potential applications of computer vision technology for educational institutions have been proposed to enhance students’ learning processes in various faculties, such as engineering, medical science, and others. Moreover, the technology can also aid in creating a safer campus environment by automatically detecting abnormal activities such as ragging, bullying, and harassment

Analysis of artificial intelligence-based metaheuristic algorithm for MPLS network optimization

Multiprotocol label switched (MPLS) networks were introduced to enhance the network`s service provisioning and optimize its performance using multiple protocols along with label switched based networking technique. With the addition of traffic engineering entity in MPLS domain, there is a massive increase in the networks resource management capability with better quality of services (QoS) provisioning for end users. Routing protocols play an important role in MPLS networks for network traffic management, which uses exact and approximate algorithms. There are number of artificial intelligence-based optimization algorithms which can be used for the optimization of traffic engineering in MPLS networks. The paper presents an optimization model for MPLS networks and proposed dolphin-echolocation algorithm (DEA) for optimal path computation. For Network with different nodes, both algorithms performance has been investigated to study their convergence towards the production of optimal solutions. Furthermore, the DEA algorithm will be compared with the bat algorithm to examine their performance in MPLS network optimization. Various parameters such as mean, minimum /optimal fitness function values and standard deviation. Document type: Conference objec

Effects of macroeconomic variables on stock prices in Malaysia: an approach of error correction model

This paper attempts to examine the short-run and long-run causal relationship between Kuala Lumpur Composite Index (KLCI) and selected macroeconomic variables namely inflation, money supply and nominal effective exchange rate during the pre and post crisis period from 1987 until 1995 and from 1999 until 2007 by using monthly data. The methodology used in this study is time series econometric techniques i.e. the unit root test, cointegration test, error correction model (ECM), variance decomposition and impulse response function. The findings show that there is cointegration between stock prices and macroeconomic variables. The results suggest that inflation, money supply and exchange rate seem to significantly affect the KLCI. These variables considered to be emphasized as the policy instruments by the government in order to stabilize stock prices

Efficiency measurement of Islamic and conventional banks in Saudi Arabia:an empirical and comparative analysis

Saudi Arabia, beside Malaysia and many other Muslim countries, is one of those countries where Islamic and conventional banking operate in parallel. Over the last decade, the country’s banking industry is growing at rapid pace that accounts for the largest share in GCC. The present study measures and compares the performance of Saudi conventional and Islamic banking industry and identifies the areas where the strategic measures are required to improve the banking performance. It applies non-parametric Data Envelopment Analysis (DEA) for the data from 2008-2016 of Saudi banking industry and provides comprehensive empirical results at individual bank vis-a-vis industry levels. The empirical results demonstrate a mix trend among the banks in achieving technical, pure technical and scale efficiency. It is observed that with the common pledge to expanding market share and performance, both conventional and Islamic banks have been successful in improving their levels of efficiency. At individual bank level, Al-Rajhi is the only bank that has achieved the highest score in terms of technical, pure technical and scale efficiency, while in the conventional banking group, both Saudi Hollandi and National Commercial banks are found on the top position. Despite the growth of incomes and deposits of entire banking industry in Saudi Arabia, this study particularly recommends for the Islamic banks to redirect their short term and long-term marketing strategies and to focus on improving their management skills at the branch level