Global supply chain pressure and macro-financial downside risk: Can monetary policy buffer the risk transmission?
Zongming Liu & Wenhui Shi
Abstract
• Global supply chain shocks significantly increase the downside risk in macro-financial systems. • Time-varying characteristics of economic distributions reveal crucial dynamics of downside risk. • The impact of supply chain shocks peaked during both the 2008 financial crisis and COVID-19. • Counterfactual analysis underscores the importance of risk-buffering monetary policy measures. • This study captures the dynamic link between supply chain risks and macro-financial stability. This paper investigates the relationship between global supply chain shocks and macro-financial downside risk, shedding light on how disruptions in supply chains translate into broader macroeconomic vulnerabilities. By employing quantile models and skewed-t time-varying distribution frameworks, we estimate the characteristics of macro-financial downside risk and reveal the evolving properties of macroeconomic statistical distributions along with their associated risk volatilities. Additionally, we construct a Bayesian Structural Vector Autoregression (SVAR) model based on the Global Supply Chain Pressure Index. Our findings indicate that supply chain shocks significantly heighten macro-financial downside risk, with the effects particularly pronounced during the 2008 financial crisis and the 2020 COVID-19 pandemic. This study uniquely captures the dynamic and time-varying nature of the influence of supply chain risks on macro-financial downside risk, providing fresh insights into the intricate interplay between supply chain disruptions and macroeconomic stability. Furthermore, counterfactual decompositions of the impulse response functions suggest that monetary policy can effectively establish a risk-buffering mechanism in response to these shocks, although with a notable lag.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.