ABSTRACT
This paper aims to assess whether the outbreak of the highly contagious pandemic had an impact on the share prices of recently listed Aramco in light of the Fads hypothesis using the methods of neural network and ARIMA. The IPO of Aramco, the world's largest oil company, was a much-hyped affair. Given the relevant importance of the company, it was expected that Aramco's share prices would not underperform in the long run. But the analysis indicates the opposite. The study uses two time periods using the announcement of the pandemic by the World Health Organization as the threshold date to see the impact of the pandemic on Aramco's share prices. The forecasting results validate the Fads hypothesis implying that Aramco's share prices would have underperformed in the long run, even in the absence of a pandemic outbreak. Finally, the study cautions investors against the hype created by IPOs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
It is the service sector for any nation that offers the government the maximum income. This service industry comprises a broader range of services and every individual in the nation will be affected by any bad impacts on this sector. The covid pandemic has become a threat to good health and has created fear due to the spread of the virus and a serious impact on the economy and the livelihood of people in the country. Logistics and delivery are some of the areas badly affected by covid. Because this virus is a contagious disease and very quickly spreads to neighbours. The reduction of human interference in the delivery of goods was very important. This paper presents a delivery robot that can safely and securely deliver the goodseven for the virus affected persons since this robot is a virus free agent. The key features are face recognition, obstacle detection, live streaming, GPS tracking and we achieve these features using Raspberry Pi and Node MCU. The prototype we create is for small organizations such as colleges and hospitals where objects must be transported safely and securely. This robot can also be used to safely provide patients with medicines and food. This can be extended to a greater area and can be used to replace the normal human resources delivery system. © 2021 IEEE.
ABSTRACT
The study examines the influence of COVID-19 on the stock market returns of Saudi Arabia. The data was analyzed through event study methodology using daily price data of Tadawul All Share Index (TASI). The study examines the behavior pattern of the Saudi Arabian stock market in different phases during the event period by selecting six-event windows with a range of 10 days. The results report a negative Abnormal Return (AR) of -0.003 on the event date, while the abnormal returns reversed the next day to 0.005 positively. The result of Cumulative Abnormal Return (CAR) is negative and significant at the 1 percent level in all the six-event windows starting from the event date to day 59 after the event for the TASI index. Even though the influence of the COVID-19 pandemic decreased after 30 days of the event date, it increased during the last ten days of the event window. The stock market volatility of Saudi Arabia increased during the post-event period compared to the pre-event period with a negative mean return of -0.326 and a greater standard deviation. In a conclusion, the study found a significant influence of the COVID-19 pandemic on the stock market returns of TASI.
ABSTRACT
Higher education has an important role in contributing to the creation of prosperity and alleviate poverty in society by enhancing the quality of life of the students. Past studies indicate that prosperity can be attained through the sustainability in security and development, in the sense which resources are effectively and efficiently managed for the state and its society. The creation of the state's prosperity includes the development of human capital through the platform of education. However, the Coronavirus Disease-2019 (COVID- 19) pandemic outbreak had disrupted higher education sector. In Malaysia, the Movement Control Order (MCO) or 'Malaysia lockdown' was declared by the authority starting from March 18, 2020, to curb the spread of COVID-19. The COVID-19 outbreak and MCO restriction disrupted the higher education stakeholders to ‘normally’ continue with their academic activities. The disruption of the academic activities has affected the students’ well-being and welfare, especially those from the bottom billion families. The main aim of the study is to obtain a preliminary understanding of the students’ experiences on their well-being and welfare during the MCO in times of COVID-19 pandemic outbreak. The study was conducted during the first phase of the MCO period from 18 to 31 Marchusing multiple Phone Calls interviews. Thirty-three (33) respondents from Bottom40 families participated in the study. The study managed to gather twenty (20) variables clustered in the ‘Prosperity Quadrant for Sustainability in Security and Development during the MCO in Times of COVID-19 Pandemic' based on experiences highlighted by the respondents from B40 families. The preliminary findings obtained in the study could provide valuable insights for the decision-makersof HEIs in prioritizing their strategic short, middle and long-term planning in a time of COVID-19 pandemic outbreak. © 2020 Wolters Kluwer Medknow Publications. All rights reserved.