Network Effects Of International Shocks And Spillovers

This paper proposes a method for assessing international spillovers from nominal demand shocks. It quantifies the impact of a shock in one country on all other countries. The paper concludes that the network effects in shock spillovers can be substantial, comparable, and often exceed the initial shock. Individual countries may amplify, absorb, or block spillovers. Most developed countries pass-through shocks, whereas low-income countries and oil exporters tend to block shock spillovers. The method is used to study demand shocks originating from a large and medium country, China and Ukraine respectively.

This paper proposes a method for assessing international spillovers from nominal demand shocks. It quantifies the impact of a shock in one country on all other countries. The paper concludes that the network effects in shock spillovers can be substantial, comparable, and often exceed the initial shock. Individual countries may amplify, absorb, or block spillovers. Most developed countries pass-through shocks, whereas low-income countries and oil exporters tend to block shock spillovers. The method is used to study demand shocks originating from a large and medium country, China and Ukraine res

This paper examines the role of sectoral spillovers in propagating sectoral shocks in the broader economy, both in the past and during the COVID-19 pandemic. In particular, we study how shocks that occur within a sector itself and spillovers from shocks to other sectors affect sectoral activity, for a large sample of countries from 1995 to 2014. We find that both supply and demand shocks—measured as changes in, respectively, productivity and government purchases at the sector level—have large spillover effects on sector-level gross value added and on a sector’s share of the economy. We then use these historical estimates, together with the network structure of global production, to quantify the spillovers from the economic shock associated with the pandemic. We find spillover effects to be sizeable, making up a significant fraction of the overall decline in activity in 2020.Our results have implications for the design of policies with a sectoral dimension.

Anecdotal evidence suggests the existence of specific choke points in the global trade network revealed especially after natural disasters (e.g. hard drive components and Thailand flooding, Japanese auto components post-Fukushima, etc.). Using a highly disaggregated international trade database we assess the spillover effects of supply shocks from the import of specific goods. Our goal is to identify inherent vulnerabilities arising from the composition of a country’s import basket and to propose effective mitigation policies. First, using network analysis tools we develop a methodology for evaluating and ranking the supply fragility of individual traded goods. Next, we create a country-level measure to determine each country’s supply shock vulnerability based on the composition of their individual import baskets. This measure evaluates the potential negative supply shock spillovers from the import of each good.

We quantify the role of global production linkages in explaining spillovers of U.S. monetary policy shocks to stock returns across countries and sectors using a newly constructed dataset. Our estimation strategy is based on a standard open-economy production network model that delivers a spillover pattern consistent with a spatial autoregression (SAR) process. We use the SAR model to decompose the overall impact of U.S. monetary policy on global stock returns into a direct and a network effect. We find that nearly 70% of the total impact of U.S. monetary policy shocks on country-sector stock returns are due to the network effect of global production linkages. Our results are robust to changes in the definitions of stock returns and monetary policy shocks, to controlling for correlates of the global financial cycle, foreign monetary policy shocks, and to alternative empirical specifications.

The paper models international spillovers from a hypothetical drop of China’s imports as a result of China’s rebalancing of its growth model. A network-based model used in the paper allows capturing higher round network effects of the shock, which are largely unaccounted for in the existing literature. Such effects include direct spillovers from China on its trading partners, subsequent spillins among them, and spillbacks on China itself. The paper finds that the network effects most likely will be substantial, may amplify initial shock, and change the direction of its propagation. The impact on Asia and Pacific will be the strongest followed by the Middle East and Central Asia. The impact on sub-Saharan Africa would be noticeable only for some countries. Spillovers on Europe, including the Euro area, will be moderate, and spillovers on the Western Hemisphere, including the United States, would be very marginal. Metal and non-fuel commodity exporters may experience the largest negative impact.

Given the prospects of asynchronous monetary conditions in the United States and the euro area, this paper analyzes spillovers among these two economies, as well as the implications of asynchronicity for spillovers to other advanced economies and emerging markets. Through a structural vector autoregression analysis, country-specific shocks to economic activity and monetary conditions since the early 1990s are identified, and are used to draw implications about spillovers. The empirical findings suggest that real and monetary conditions in the United States and the euro area have oftentimes been asynchronous. The results also point to significant spillovers among them, in particular since early 2014—with spillovers from the euro area to the United States being particularly large. Against the backdrop of asynchronous conditions in these two economies, spillovers from real and money shocks to emerging markets and non-systemic advanced economies could be dampened.

This paper proposes a network model of multilaterally equilibrium exchange rates. The model introduces a topological component into the exchange rate analysis, consistently taking into account simultaneous higher-order interactions among all currencies. The paper defines the currency demand indicator. On its base, it derives a multilateral exchange rate network, finds its dynamically stationary position, and identifies the multilaterally equilibrium levels of bilateral exchanges rates. Potentially, the model can be developed further to calculate the deviations of the observed bilateral exchange rates from their multilaterally equilibrium levels, which can be interpreted as their over- or undervaluation. For illustration, the model is applied to daily 1995-2016 exchange rates among 130 currencies sourced from the Thomson Reuters Datastream.

Economic growth in sub-Saharan Africa as a whole has fallen to its lowest level in 15 years, though with large variation among countries in the region. The sharp decline in commodity prices has severely strained many of the largest economies, including oil exporters Angola and Nigeria, and other commodity exporters, such as Ghana, South Africa, and Zambia. At the same time, the decline in oil prices has helped other countries continue to show robust growth, including Kenya and Senegal. A strong policy response to the terms-of-trade shocks is critical and urgent in many countries. This report also examines sub-Saharan Africa’s vulnerability to commodity price shocks, and documents the substantial progress made in financial develop, especially financial services based on mobile technologies.

We estimate that U.S. monetary policy has sizable spillover effects on global economic activity. In response to a surprise increase in the federal funds rate of 25 basis points, real output in our sample of 44 countries declines on average by 0.9% after three years. We find that international trade is a more important factor than international finance in explaining these spillovers. In particular, countries with a high share of exports and imports in output have 79% larger responses than countries with a low share, whereas we do not find significant heterogeneity depending on a country's financial openness. Bilateral trade linkages appear to be quantitatively important, as the network amplification effect accounts for 45% of the total spillover effect at the peak horizon. We conclude that trade networks could be an important ingredient of theoretical models focusing on the international effects of U.S. monetary policy shocks.