Assessing Dynamic Connectedness in Global Supply Chain Infrastructure Portfolios: The Impact of Risk Factors and Extreme Events
Haibo Wang

TL;DR
This study examines how risk factors and extreme events like COVID-19 influence the interconnectedness of global supply chain infrastructure portfolios, highlighting the role of ESG scores and dynamic spillover effects.
Contribution
It introduces a TVP-VAR model to analyze time-varying risk spillovers and the impact of extreme events on global supply chain portfolios and ESG integration.
Findings
Risk shocks significantly affect portfolio interconnectedness.
Extreme events alter the structure of risk spillovers.
Higher ESG portfolios show stronger connectedness and better hedging ability.
Abstract
This paper analyses the risk factors around investing in global supply chain infrastructure: the energy market, investor sentiment, and global shipping costs. It presents portfolio strategies associated with dynamic risks. A time-varying parameter vector autoregression (TVP-VAR) model is used to study the spillover and interconnectedness of the risk factors for global supply chain infrastructure portfolios from January 5th, 2010, to June 29th, 2023, which are associated with a set of environmental, social, and governance (ESG) indexes. The effects of extreme events on risk spillovers and investment strategy are calculated and compared before and after the COVID-19 outbreak. The results of this study demonstrate that risk shocks influence the dynamic connectedness between global supply chain infrastructure portfolios and three risk factors and show the effects of extreme events on risk…
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