Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We combine data on international trade linkages with a network approach to map the global trading system as an interdependent complex network. This enables us to obtain indicators of how well connected a country is into the global trading system. We use these network‐based measures of connectedness to explain stock market returns during recent episodes of financial crisis. We find that a crisis is amplified if the epicenter country is better integrated into the trade network. However, target countries affected by such a shock are in turn better able to dissipate the impact if they are well integrated into the network. A network approach can help explain why the Mexican, Asian, and Russian financial crises were highly contagious, while the crises that originated in Venezuela and Argentina did not have such a virulent effect. We suggest that a network approach incorporating the cascading and diffusion of interdependent ripples when a shock hits a specific part of the global trade network provides us with an improved explanation of financial contagion. (JEL F10, F36, F40, G15)