ABSTRACT
During the pandemic, the stock markets of developed countries have reported a jittery trend. The current study focuses on the impact of COVID-19 on Pakistani stock market, which belongs to a developing economy. The findings of current study have contradicted with the previous studies, which reported an adverse effect of COVID-19 on developed stock markets. We conclude that KSE-100 index has confirmed positive increment in stock returns. In addition, by using three predicted scenarios of COVID-19, we report the significant increase in KSE-100 index. However, it seems clear that the timely intervention of Pakistani government has safeguard the investors from utter disaster of stock market.
ABSTRACT
The motivation behind the current research is to check the effect of the recent introduction of value added tax (VAT) and Vision 2030 on the economy of Saudi Arabia. To check this, those variables are added to the analysis which contribute to economic development including labor, capital, oil price, financial development, and trade openness to examine that how economic transformation affects the role of these variables in economic growth. According to the vector error correction (VEC) model, the impact of labor becomes negative after VAT, however, the impact of capital and financial development becomes significant by this transformation. The coefficients of oil prices, for positive and negative shocks, are significant and negative. Financial development and trade openness are reporting surprising results;positive shocks have shown negative coefficients. However, after Vision 2030, trade openness has a significant and positive coefficient. Policy implications include diversification of exports, reviving the private financing mechanism and restructuring the export/import policies.
ABSTRACT
The outbreak of novel coronavirus (COVID-19) is a public health emergency that had caused disastrous results in more than 100 countries. The ability to detect disease outbreaks in the early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatial analysis techniques, there is great potential to develop algorithms to enable more effective disease surveillance. The research focuses to develop a transparent user-friendly method to simulate the outbreak data. The paper describes the GIS tools to identify and define the field of investigation which requires consideration of the strengths and limitations of data collection instruments, facility of locational data collection, accuracy of locational data, and pertinent attributes for understanding disease risk. Using such information, it is quite easy for authorities to locate the highly effected area and take appropriate actions in that particular areas. However, GIS techniques, resources, and methods can be used in Pakistan for more effective investigation of vulnerable geographical locations.