Performance of sectoral Islamic indices during COVID-19

Meo, Muhammad Saeed; Durani, Farah; Ali, Sajid; Ademokoya, Alade Ayodeji; Nazar, Raima; Raza, Syed Ali

doi:10.1504/ijtgm.2022.128352

Cited by 3 publications

(3 citation statements)

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“…The impact of oil prices, world uncertainty and pandemic uncertainty on Islamic stocks by sector (finance, healthcare, industry, oil and gas, technology sector, telecommunications sector, and utility sector) was pointed out in their research by Meo, M. S. et al (2022). The study also pointed out that the world oil price, the world's instability, and the world pandemic's instability index positively affect the technology and telecommunications sectors.…”

Section: Impact Of Covid-19 On Economic Activitiesmentioning

confidence: 97%

The Impact of the Covid-19 Pandemic on Vietnam’s Exports

Anh,

Trang,

Tuan

et al. 2023

ijmst

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The COVID-19 pandemic outbreak expanded worldwide, disrupting trade on a scale never before seen, as well as that of individual nations, notably Vietnam. The complicated developments of the COVID-19 pandemic have significantly affected Vietnam's economic growth in general and export activities in particular. Since joining the WTO, Vietnam's exports have grown tremendously and become an essential driver of economic growth. However, due to the high openness of the economy, Vietnam's exports are highly dependent on impacts from external shocks with global influence, especially the Covid-19 pandemic. The following research paper uses a mixed regression model to analyze and assess the impact of the Covid-19 pandemic on Vietnam's export activities through such contents as export turnover, export product, export market, and exporters.

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Section: Impact Of Covid-19 On Economic Activitiesmentioning

confidence: 97%

The Impact of the Covid-19 Pandemic on Vietnam’s Exports

Anh,

Trang,

Tuan

et al. 2023

ijmst

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“…The QQ tool, introduced by Sim and Zhou (2015), deals with the shortcomings of the QR methodology, which solely concentrates on estimating the mean influence of the PNU on the quantiles of PHS. The QQ method offers distinct advantages in exploring the bond between the quantiles of both the dependent and independent variables (Meo et al., 2022). The QQ methodology adds non‐parametrical evaluations with the traditional QR tool to evaluate the interdependent connection between the quantiles of PNU and PHS.…”

Section: Econometric Toolmentioning

confidence: 99%

“…To account for the variations among different entities, it is essential to employ an econometric tool like QQ to establish empirical models. This approach is crucial for obtaining a comprehensive awareness regarding connection between the variables under investigation, going beyond the limitations of customary econometric tools (Meo et al., 2022). The outcomes of this research will serve as an important foundation for future investigations into the correlation between PNU and PHS, as well as its potential implications for other economies.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric nexus between pandemic uncertainty and public health spendings: Evidence from quantile estimation

Teng,

Zhu,

Nazar

et al. 2023

Risk Analysis

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The COVID‐19 pandemic has brought significant challenges to healthcare systems worldwide, prompting governments to allocate substantial resources toward public health spendings (PHS). However, the uncertainties surrounding the pandemic have raised questions about the effectiveness and sustainability of such expenditures. This research analyzes the nonlinear link between pandemic uncertainty (PNU) and PHS in countries with highest PNU (USA, India, France, Germany, UK, Saudi Arabia, South Korea, Indonesia, Japan, and China). Previous studies have employed panel data methodologies to establish consistent findings regarding the relationship between pandemics and health spendings, regardless of the fact that several countries have not autonomously recognized this connection. In contrast, this current research adopts a distinctive tool called “quantile‐on‐quantile,” which enables the examination of time series dependency within each economy, providing both international and country‐specific perspectives on the relationship between the variables. The estimations indicate that PNU leads to an increase in PHS in the vast majority of economies chosen by us, focusing on definite segments of the data distribution. Moreover, the data demonstrates that there are differences in the asymmetry between the variables across various nations. This underscores the need for policymakers to take careful deliberation when formulating policies related to health spendings and addressing the challenges posed by pandemic uncertainty.

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