The impact of liquidity risk and credit risk on bank profitability during COVID-19.

The COVID-19 outbreak caused a massive setback to the stability of financial system due to emergence of several other risks with COVID, which significantly influenced the continuity of profitable banking operations. Therefore, this study aims to see that how differently the liquidity risk and credit risk influenced the banking profitability during Covid-19 (Q12020 to Q42021) than before COVID (Q12018 to Q42019). The study employs pooled OLS, and OLS fixed & random effects models, to analyze the panel data on a sample of 37 banks currently operating in Pakistan.

Carbon reduction through renewable energy and digitalization in emerging economies: Moderating role of public debt.

Utilizing renewable energy (RE) and embracing the digital economy (DIG) can significantly contribute to achieving economic, energy, and climate goals by promoting carbon reduction. In this regard, public debt (DEB) is particularly important since it provides the funds required to achieve these goals by investing in renewable energy and digital economy projects. This study examines the impact of public debt on the link between renewable energy and carbon emissions (CE), as well as the association between the digital economy and carbon emissions in emerging economies from 2003 to 2022.

Effect of financial innovation and stakeholders' satisfaction on investment decisions: Does internet security matter?

This research suggests a study model of determinants of investment decisions in the context of financial innovation. The paper considers the technology innovation dimension, which influences stakeholders' (customer and employee) satisfaction, bank performance, and investment decisions. This research aims to bridge the gap by analyzing the effect of the innovation component, financial innovation on investment decisions and considering the mediated link via stakeholders' satisfaction and the bank's performance as well as the moderating role of Internet security (IS) and utilizing data gathered from 575 banks' employees and customers in Congo.

BRICS and the climate challenge: navigating the role of factor productivity and institutional quality in CO emissions.

The BRICS countries are important contributors to global efforts aimed at preventing a climate catastrophe. These countries account for half of the total emissions generated by the G20 nations. In this context, this paper examines the relationship between total factor productivity (TFP) and CO emissions (CE) in BRICS countries from 1996 to 2022, with institutional quality serving as a moderating factor.

Air pollution and life expectancy: New evidence from the MINT economies.

Life expectancy (LEX) has gained relevance among health and environmental scholars due to the current upsurge in carbon emissions. As a result, this article examined the impact of economic development (ECD), air pollution (AIP), human capital (HUC), natural resources (NRR), and renewable energy consumption (REC) on LEX in the MINT countries. The DSK estimation approach was used to estimate the variables' long-term interaction.

Role of institutional quality in debt-growth relationship in Pakistan: An econometric inquiry.

This study attempts to investigate the mediating role of institutional quality on the relationship between public debt and economic growth in Pakistan spanning 1996-2020. Time series data on all six World Bank World Governance indicators of institutional quality is used in the empirical analysis. Findings of the autoregressive distributed lag (ARDL) bounds testing technique and error correction method (ECM) confirmed the existence of cointegration among variables of interest.

Artificial neural network (ANN)-based estimation of the influence of COVID-19 pandemic on dynamic and emerging financial markets.

The COVID-19 pandemic is a serious global issue destroying financial markets awfully. The proper estimation effect of COVID-19 pandemic on dynamic emerging financial markets is a big challenge due to a complex multidimensional data. However, the present study proposes a Deep Neural Network (DNN)-based multivariate regression approach with backpropagation algorithm and structural learning-based Bayesian network with constraint-based algorithm to investigate the influence of COVID-19 pandemic on the currency and derivatives markets of an emerging economy.

Optimizing foreign exchange reserves: Protection against external shocks in Ghana.

Using Least Square Residual Minimization techniques, this paper develops an optimal reserve model, known as the OPREM model, which is essential in optimizing the costs of reserve holding. The paper also sets-out to test and compare the relative predictions of economic trends of the OPREM model as well as the predictions of alternative models in literature. Establishing the predictive accuracy of economic trends of these models are crucial for the gradual and cost-effective accumulation of reserves.

The nexus amid foreign direct investment, urbanization, and CO emissions: Evidence from energy grouping along the ECOWAS community.

The vision of every country or subregions is to achieve economic growth and sustainable economic growth. Thus, the Economic Community of West African States (ECOWAS) as an economic cooperation renders interaction among 16 relevant countries to increase economic development. However, CO emissions as a result of economic growth are of great concern.

Exploring the relationship between economic growth, energy consumption, urbanization, trade, and CO emissions: a PMG-ARDL panel data analysis on regional classification along 81 BRI economies.

The vision of every country or sub-regions is to achieve sustainable economic growth. The inability of individual countries to have a sole sustainable initiative has resulted in the establishment of economic cooperation such as the Belt and Road Initiative (BRI), which renders interaction among 138 relevant countries to increase economic development. This study delves into the determinants of economic growth along the BRI economic corridors, taking into consideration regional classification of the relevant countries.

What initiates carbon dioxide emissions along the Belt and Road Initiative? An insight from a dynamic heterogeneous panel data analysis based on incarnated carbon panel.

The Belt and Road Initiative (BRI), as an economic cooperation, provides interaction between the relevant countries and China. This cooperation between the BRI economies is basically aimed at increasing economic development. However, economic cooperation affects humanity in many ways, such as job creation, economic growth, environmental changes, and changes in the consumption of energy.

Foreign aid and economic growth: Do energy consumption, trade openness and CO2 emissions matter? A DSUR heterogeneous evidence from Africa's trading blocs.

The paramount vision of every country or sub-regions is to attain economic growth and sustainable economic growth. The paradigm drift of studies into foreign aid and sustainable economic growth has shown conflicting results that play on researchers to fill the gap of knowledge void. The plurality of studies looked at economic growth and foreign aid in single countries.

Investigation on the main contributors of economic growth in a dynamic heterogeneous panel data (DHPD) in Africa: evidence from their income classification.

In investigating the key contributors (electricity consumption, foreign direct investment, carbon dioxide emissions, and population) of economic growth in Africa, this study clustered the selected countries into their income levels spanning from 1990 to 2018. Applying the Westerlund bootstrap co-integration unveiled, the employed variables have a long-run equilibrium association. Estimates from the dynamic common corrected effects revealed that a 1% rise in electricity consumption increases economic growth by 0.

The role of CO emissions and economic growth in energy consumption: empirical evidence from Belt and Road and OECD countries.

Energy economics literature indicates that CO emissions and economic growth are significant drivers of energy consumption. This paper empirically tests the claim described above within the context of the Belt and Road Initiative countries and the Organisation for Economic Co-operation and Development countries. Prais-Winsten regression estimates the models with panel corrected standard errors.

Reserves quantity and economic stability: the central bank of Ghana's position and practices.

Discussions on Reserve Adequacy Assessment on a country-specific basis have been scant in the literature despite its significance. This situation has led to calls for the discussions on reserves holdings and adequacy levels to be more rooted in the country's Article IV consultation report. In this study, we examined if reserves build-up by the central bank of Ghana meets the specific metrics of theoretical reserve models such as the reserves to M2 growth metrics and the Greenspan-Guidotti rule metrics.

Structural Change and Dynamics of Pakistan Stock Market during Crisis: A Complex Network Perspective.

We studied the cross-correlations in the daily closing prices of 181 stocks listed on the Pakistan stock exchange (PSX) covering a time period of 2007-2017 to compute the threshold networks and minimum spanning trees. In addition to the full sample analysis, our study uses three subsamples to examine the structural change and topological evolution before, during, and after the global financial crisis of 2008. We also apply Shannon entropy on the overall sample to measure the volatility of individual stocks.