This study investigates the response of Chinese stock returns to oil prices amidst COVID-19 pandemic using both linear and nonlinear autoregressive distributed lag (ARDL) models. The results indicate that price Global Fear Index ( GFI ), respectively, affect positively negatively in short run. While asymmetry matters, do not respond changes long

After the collapse of fixed exchange rate system Bretton Woods, fluctuations and its impact on macroeconomic performance trade in countries around world are becoming an increasing debate among researchers policymakers. This study empirically investigates whether real may affect exports Indian context. The has employed autoregressive distributed lag (ARDL) bound test procedure to analyse long-ru...

This study investigates the effects of renewable energy (REN) consumption and non-renewable (NREN) on economic growth in G7 countries with annual data covering period 1980–2016 using a new panel estimator that provides robust results under cross-sectional dependence, slope heterogeneity, can be used whether series are integrated different orders. In addition, causality between variables is anal...

Abstract This study examines the symmetric and asymmetric impact of public debt on economic growth in Côte d'Ivoire using time series data from 1972 to 2021. The analyses were performed both linear nonlinear autoregressive distributed lag (ARDL) models. also utilised bounds F-test for cointegration, Brock-Dechert-Scheinkman (BDS) nonlinearity test, Wald test asymmetries. findings provide suppor...

The disappointing economic performance of Sub-Saharan African (SSA) economies in the late 1980s prompted economic-wide policy reforms in the early 1990s. The primary objectives of these institutional and structural changes were to promote trade and export activities, enhance foreign direct investment (FDI) inflows, and ease foreign access to SSA markets particularly for large multinational ente...