The fluctuations in oil price have vital importance for their presumed role in the trade balance. Our study investigates the oil price fluctuation effect on the trade balance for period 1980-2017. We employ linear and nonlinear autoregressive distributed lag models simultaneously and find the...

Oil is used as an essential source of energy because it is one of the significant inputs of production especially in manufacturing sectors. This study employs symmetric and asymmetric Autoregressive Distributed Lag Model to explore oil price effect on manufacturing output over 1985-2017 in Saudi...

The paper aims to analyze the effect of bank risk appetite on banks' default probabilities during the year of COVID-19 in 12 countries while controlling for bank-specific and country-specific effects over time. A System Generalized Methods of Moments (GMM) model of default probabilities is...

The current study aims to discover the impact of cross-border e-commerce (CBEC) exports on regional economic growth in China. A benchmark regression via the fixed panel effect model was conducted (using STATA software) based on Chinese provincial data from 2015 to 2020. The results demonstrated...

Many developing countries, like Indonesia, struggle with tax evasion. It reduces government revenues, impeding government activities and a country’s economic development. In this study, we look at the topic of tax evasion in Indonesia from 1980 to 2019. Using the "modified-cash-deposit-ratio"...

This study employs a suitable volatility model that examines the impact of COVID-19 new cases and deaths on the volatility of daily job loss in Malaysia. Autoregressive Distributed Lag (ARDL) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) were employed as the modelling...

The present study explores the effects of globalization and foreign direct investment (FDI) on environmental quality in OIC countries. The main purpose of the study is to analyze that how opening of OIC economies together with inward FDI affect the environmental quality in terms of CO2emissions....

Big data analytics (BDA) technologies have emerged as a cornerstone for predicting, preparing, and preventing natural disasters, that directly save millions of human lives. The current study takes the initial step to analyze various antecedents of using BDA technologies that support real-time...

This paper attempts to develop a financial vulnerability indicator for China as a barometer for the state of financial vulnerability in the Chinese financial market, possibly for real-time application. Twelve variables from different sectors are utilised to extract a common vulnerability...