The research investigates the impact of lockdown period caused by COVID-19 to stock market India. study examines extent influence on Indian and whether reaction would be same in pre- post-lockdown COVID-19. Market Model Event methodology is used. A sample 31 companies listed Bombay Stock Exchange (BSE) are selected at random for purpose study. taken 35 days (24 February-17 April, 2020). An event window was with 20 prior 15 during event. (t1) being official announcement lockdown. results...

The purpose of the current study is to investigate role Islamic financial system in recovery post-COVID-19 and way Fintech can be utilized combat economic reverberations created by COVID-19. global crisis 2008 has established credentials as a sustainable which save long run interests average citizens around world while adding value real economy. basic ethical tenets available make it more suited readymade fight aftershocks pandemic like principles finance have solid connections stability...

Abstract As the global concerns regarding climate change and related environmental adversities continue to persist alongside rapid development of world economies, United Nations declared a set compressive sustainable goals (SDG) that are be realized by end 2030. These specifically conceptualized collectively facilitate attainment socioeconomic while concurrently improving quality environment. Hence, this study assesses interlinkages between economic growth, pollution, financial development,...

Abstract This study delves into the profound repercussions of resource curse hypothesis within Brazil, Russia, India, China, and South Africa (BRICS) nations from 1991 to 2022, examining intricate interplay among natural abundance, energy consumption, economic development (ED). Methodologically, it employs cross‐sectionally augmented Dickey–Fuller test assess stationarity utilizes Westerlund cointegration technique analyze cointegration. Subsequently, autoregressive distributive lag model is...

Abstract This study explores the complex relationships involving ecological footprints, energy use, carbon emissions, governance efficiency, economic prosperity, and financial stability in South Asian nations spanning period from 2000 to 2022. Employing various methodologies such as cross-sectional dependence tests, co-integration analysis, first- second-generation unit-root we use a panel Autoregressive Distributed Lag model, feasible generalized least squares, Panel Corrected Standard...

The banking sector plays a crucial role in the economic growth of nation. purpose this study is to examine long-term association between banks’ performance and developing economy: India. used panel data 20 public banks for period 2009 2019. It applied Pedroni Kao test co-integration, vector error correction model (VECM) dynamic, fully-modified ordinary least squires OLS (FMOLS), dynamic (DOLS) estimate relationship interest margin return on assets, bank investment, lending capacity with...

Purpose The Kingdom of Bahrain has had tremendous development in various areas the last decade. As a result this, increasing energy consumption puts strain on country's supplies and increased CO 2 emissions. This study investigates determinants carbon emissions Bahrain. Design/methodology/approach employs autoregressive distributed lag (ARDL) bounds test vector error correction model (VECM) Granger causality cointegration methods for empirical analysis during 1980-2020. unit root residual...

Research on forecasting the seasonality and growth trend of natural gas (NG) production consumption will help organize an analysis base for NG inspection development, social issues, allow industrials elements to operate effectively reduce economic issues. In this situation, we handle a comparison structure application different models in monthly using cross-correlation function then analyze association between exogenous variables. Moreover, SARIMA-X model is tested US prediction via proposed...

In this paper we examined the interaction between greenhouse gas emissions, nuclear energy, coal urban agglomeration, and economic growth in Pakistan by utilizing time series data during 1972–2019. The stationarity of variables was tested through unit root tests, while ARDL (autoregressive distributed lag) method with long short-run estimations applied to reveal linkages variables. A unidirectional association all revealed performing a Granger causality test under vector error correction...

The globe is now in ecological turmoil as a result of the unrelenting increase global warming. As result, governments worldwide are committing to decarbonizing environment, with United Arab Emirates (UAE) and Kingdom Saudi Arabia (KSA) playing an important role this effort. Hence, paper evaluates nonlinear (asymmetric) impact natural gas consumption on renewable energy economic growth KSA UAE utilizing data stretching from 1990 2020. study also considers other drivers growth, such trade...