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This study focuses on the relation between stock price returns and oil price returns covering the COVID-19 period. This relation is examined for major net oil-importing Asian countries. Utilizing daily data, we fit a DCC-GARCH model. We find evidence of a positive co-movement between oil price returns and stock price returns during the COVID-19 period. This indicates that falling oil prices act as a negative signal for the stock market.Other recent studies related to COVID-19 and its impact on various economic factors include

This article measures the trade interconnectedness among countries before and after the COVID-19 outbreak, and forecasts the future direction of trade. Using Trade Network Analysis and Artificial Neural Networks, our findings show that: (1) There is a drastic reduction in trade interconnectedness, connectivity, and density among countries after the COVID-19 outbreak. (2) There is a visible change in the structure of trade-network (3) China's 'center' position in the trade network is not affected by the pandemic. (4) There will be a drastic decline in trade of most of the economies until December 2020.

This study empirically analyzes the dynamic relation between oil price returns, exchange rates, stock returns, and uncertainty shocks. Utilizing daily data, we employ a structural vector autoregression econometric technique to explore the impact of uncertainty in the Indian context. The study finds that COVID-19-induced uncertainty dampened the oil and stock markets. Further, findings suggest that COVID-19-induced uncertainty distorted the dynamics between oil and stock prices in the initial periods, due to the cautionary approach followed by investors.