COVID-19 and trade: Simulated asymmetric loss.

This paper uses 2018 data as a benchmark to build a numerical 26-country global general equilibrium model with trade cost and an endogenous trade imbalance structure. We assume that COVID-19 will increase the trade cost between countries and decrease labor supply in production. We use China's trade data from January to April in 2020 to calibrate the influence level parameters and then simulate the trade effects of COVID-19 in China, the EU, the US, and the world. Our simulation results find that all countries' trade and exports will be significantly hurt by the pandemic. Due to the trade diversion effect and the price growth effect, some countries will see an increase in import trade. Comparatively, the pandemic has the most negative impact on global trade, followed by the EU, the US, and China. As the pandemic deepens, the negative impact on trade will increase. The worldwide pandemic has the most significant impact on US trade, with an effect about 1.5 times that of the average world effect.

Causal Relationship Between the Spread of the COVID-19 and Geopolitical Risks in Emerging Economies.

This study investigates the causality between the spread of the COVID-19 pandemic (measured by new cases per million and new deaths per million) and geopolitical risks (measured by the index of geopolitical risks). We use the balanced panel data framework in 18 emerging economies from January 2020 to August 2020. We run the initial tests of cross-sectional dependence and the panel unit root tests with capturing cross-sectional dependence. Then, we utilize the panel Granger non-causality tests for heterogeneous stationary panel datasets. According to the findings, there is a significant causality from both measures of spreading the COVID-19 pandemic to geopolitical risks. Further tests are performed, and potential implications are also discussed.