Publication: Should Emerging Markets Worry about U.S. Monetary Policy Announcements?
Loading...
Date
2017-06
ISSN
Published
2017-06
Author(s)
Editor(s)
Abstract
This paper analyzes the spillover effects of U.S. monetary policy announcements on emerging market economies since end-2008, the period coinciding with the use of unconventional policy measures. Monetary policy surprises are measured by changes in two-year Treasury yields in short windows of time around the Federal Reserve Board’s policy announcements. The analysis finds that U.S. monetary policy surprises have a significant impact on emerging economies' exchange rates, equity prices, and bond yields. The impact is larger for surprise tightening of policy than for surprise easing. The impact is disproportionately larger for large surprises, implying that emerging markets are relatively insulated from anticipated policy announcements. The spillover effects of policy announcements of other advanced economies, such as the euro area, Japan, and United Kingdom, are found to be much weaker than those of the United States.
Link to Data Set
Citation
“Gupta, Poonam; Masetti, Oliver; Rosenblatt, David. 2017. Should Emerging Markets Worry about U.S. Monetary Policy Announcements?. Policy Research Working Paper;No. 8100. © World Bank. http://hdl.handle.net/10986/27300 License: CC BY 3.0 IGO.”
Associated URLs
Associated content
Other publications in this report series
Publication Dynamic, High-Resolution Wealth Measurement in Data-Scarce Environments(Washington, DC: World Bank, 2025-02-06)Accurate and comprehensive measurement of household livelihoods is critical for monitoring progress toward poverty alleviation and targeting social assistance programs for those who most need it. However, the high cost of traditional data collection has historically made comprehensive measurement a difficult task. This paper evaluates alternative satellite-based deep learning approaches using detailed household census extracts from four African countries to accelerate progress toward comprehensive, fine-scale, and dynamic measurement of asset wealth at scale. The results indicate that transformer architectures solve multiple open measurement problems, by providing the most accurate measurement of local-level variation in household asset wealth across countries and cities, as well as changes in household asset wealth over time. Experiments that artificially restrict data availability show the model’s ability to achieve high performance with limited data. The proposed approach demonstrates the promise of combining satellite imagery, publicly available geo-features, and new deep learning architectures for hyperlocal and dynamic measurement of wealth in data-scarce environments.Publication Firm-Level Climate Change Adaptation(Washington, DC: World Bank, 2025-03-10)Are firms adapting to climate change? This paper studies this question by combining geocoded World Bank Enterprise Survey data with spatially granular weather data to estimate temperature response functions for nearly 160,000 firms in 134 countries over a 15-year period. Our results show that market imperfections in low- and middle-income countries constrain firms’ ability to adapt. Small and medium-size firms in low- and low-middle income countries are most vulnerable, with revenues declining by 12 percent in years with temperatures 0.5◦C above historical averages. The impact is equally strong for manufacturing and services firms and result from declines in labor productivity and wages. Heat-sensitive sectors and less resilient firms are more severely affected, reinforcing the causal interpretation. Unique firm-level information on policy constraints including limited financing, burdensome regulations, and unsafe conditions suggest that such factors raise adaptation costs, undermining economic resilience to climate change.Publication Beyond the AI Divide(Washington, DC: World Bank, 2025-02-24)This paper examines global disparities in artificial intelligence preparedness, using the 2023 Artificial Intelligence Preparedness Index developed by the International Monetary Fund alongside the multidimensional Economic Complexity Index. The proposed methodology identifies both global and local overperformers by comparing actual artificial intelligence readiness scores to predictions based on economic complexity, offering a comprehensive assessment of national artificial intelligence capabilities. The findings highlight the varying significance of regulation and ethics frameworks, digital infrastructure, as well as human capital and labor market development in driving artificial intelligence overperformance across different income levels. Through case studies, including Singapore, Northern Europe, Malaysia, Kazakhstan, Ghana, Rwanda, and emerging demographic giants like China and India, the analysis illustrates how even resource-constrained nations can achieve substantial artificial intelligence advancements through strategic investments and coherent policies. The study underscores the need for offering actionable insights to foster peer learning and knowledge-sharing among countries. It concludes with recommendations for improving artificial intelligence preparedness metrics and calls for future research to incorporate cognitive and cultural dimensions into readiness frameworks.Publication Indigenous peoples, land and conflict in Mindanao, Philippines(Washington, DC: World Bank, 2024-02-12)This article explores the links between conflict, land and indigenous peoples in several regions of Mindano, the Philippines, notorious for their levels of poverty and conflict. The analysis takes advantage of the unprecedented concurrence of data from the most recent, 2020, census; an independent conflict data monitor for Mindanao; and administrative sources on ancestral land titling for indigenous peoples in the Philippines. While evidence elsewhere compellingly links land titling with conflict reduction, a more nuanced story emerges in the Philippines. Conflicts, including land- and resource-related conflicts, are generally less likely in districts (barangays) with higher shares of indigenous peoples. Ancestral domain areas also have a lower likelihood for general conflict but a higher likelihood for land-related conflict. Ancestral domains titling does not automatically solve land-related conflicts. When administrative delays take place (from cumbersome bureaucratic processes, insufficient resources and weak institutional capacity), titling processes may lead to sustained, rather than decreased, conflict.Publication Who on Earth Is Using Generative AI ?(Washington, DC: World Bank, 2024-08-22)Leveraging unconventional data, including website traffic data and Google Trends, this paper unveils the real-time usage patterns of generative artificial intelligence tools by individuals across countries. The paper also examines country-level factors driving the uptake and early impacts of generative artificial intelligence on online activities. As of March 2024, the top 40 generative artificial intelligence tools attract nearly 3 billion visits per month from hundreds of millions of users. ChatGPT alone commanded 82.5 percent of the traffic, yet reaching only one-eightieth of Google’s monthly visits. Generative artificial intelligence users skew young, highly educated, and male, particularly for video generation tools, with usage patterns strongly indicating productivity-related activities. Generative artificial intelligence has achieved unprecedentedly rapid global diffusion, reaching almost all economies worldwide within 16 months of ChatGPT’s release. Middle-income economies have disproportionately high adoption of generative artificial intelligence relative to their economic scale, now contribute more than 50 percent of global traffic, while low-income economies contribute less than 1 percent. Regression analysis reveals that income level, share of youth population, digital infrastructure, specialization in high-skill tradable services, English proficiency, and human capital are strongly correlated with higher uptake of generative artificial intelligence. The paper also documents disruptions in online traffic patterns and emphasizes the need for targeted investments in digital infrastructure and skills development to harness the full potential of artificial intelligence.
Journal
Journal Volume
Journal Issue
Citations
Collections
Related items
Showing items related by metadata.
Publication Tapering Talk : The Impact of Expectations of Reduced Federal Reserve Security Purchases on Emerging Markets(World Bank, Washington, DC, 2014-01)In May 2013, Federal Reserve officials first began to talk of the possibility of tapering their security purchases. This tapering talk had a sharp negative impact on emerging markets. Different countries, however, were affected very differently. This paper uses data on exchange rates, foreign reserves and equity prices between April and August 2013 to analyze who was hit and why. It finds that emerging markets that allowed the real exchange rate to appreciate and the current account deficit to widen during the prior period of quantitative easing saw the sharpest impact. Better fundamentals (the budget deficit, the public debt, the level of reserves, or the rate of economic growth) did not provide insulation. A more important determinant of the differential impact was the size of the country's financial market: countries with larger markets experienced more pressure on the exchange rate, foreign reserves, and equity prices. This is interpreted as showing that investors are better able to rebalance their portfolios when the target country has a relatively large and liquid financial market.Publication Unconventional Monetary Policy Normalization in High-Income Countries : Implications for Emerging Market Capital Flows and Crisis Risks(World Bank, Washington, DC, 2014-04)As the recovery in high-income countries firms amid a gradual withdrawal of extraordinary monetary stimulus, developing countries can expect stronger demand for their exports as global trade regains momentum, but also rising interest rates and potentially weaker capital inflows. This paper assesses the implications of a normalization of policy and activity in high-income countries for financial flows and crisis risks in developing countries. In the most likely scenario, a relatively orderly process of normalization would imply a slowdown in capital inflows amounting to 0.6 percent of developing-country GDP between 2013 and 2016, driven in particular by weaker portfolio investments. However, the risk of more abrupt adjustments remains significant, especially if increased market volatility accompanies the unwinding of unprecedented central bank interventions. According to simulations, abrupt changes in market expectations, resulting in global bond yields increasing by 100 to 200 basis points within a couple of quarters, could lead to a sharp reduction in capital inflows to developing countries by between 50 and 80 percent for several months. Evidence from past banking crises suggests that countries having seen a substantial expansion of domestic credit over the past five years, deteriorating current account balances, high levels of foreign and short-term debt, and over-valued exchange rates could be more at risk in current circumstances. Countries with adequate policy buffers and investor confidence may be able to rely on market mechanisms and countercyclical macroeconomic and prudential policies to deal with a retrenchment of foreign capital. In other cases, where the scope for maneuver is more limited, countries may be forced to tighten fiscal and monetary policy to reduce financing needs and attract additional inflows.Publication What Do We Know about Monetary Policy that Friedman Did Not Know?(World Bank, Washington, DC, 2009)This paper offers a personal review of the current state of knowledge on monetary policy. In a nutshell, what Friedman knew-have survived, but that modern monetary policy departs in some important ways from older principles? The older wisdom that monetary policy determines inflation in the long run but can have systematic shorter run effects has survived a major challenge. Most of the new ideas stem from the recognition of the crucial role of expectations. In today's world, this observation lies behind the spectacular trend toward ever greater central bank transparency. Then it is more than likely that ideas will change in the wake of the global financial crisis. Early debates challenge the old wisdom that central banks ought to be mainly concerned with price stability. In particular, financial stability has always been part of a central bank's mission, but it has occupied limited space in theoretical and empirical studies.Publication Capital Flow Measures(World Bank, Washington, DC, 2018-04)This paper analyzes the use of capital flow measures in emerging markets. Drawing on a specially compiled new database of capital flow measures, it establishes that policy makers in emerging market economies do not use capital flow measures as an active tool at business cycle frequency. While there is a general trend toward the liberalization of capital accounts, the use of capital flow measures as a countercyclical policy tool is rather sporadic. Instead, countries show a distinct preference for using monetary policy, exchange rate adjustments, macro prudential measures, and adjustments in external reserves to modulate the impacts of domestic business cycles, international liquidity cycles, and shocks to capital flows. Regulation of different kinds of capital flows -- resident and nonresident flows; inflows and outflows; and foreign direct investment, portfolio, and banking sector flows -- is changed infrequently and is acyclical to domestic business and external liquidity cycles.Publication From Tapering to Tightening : The Impact of the Fed's Exit on India(World Bank Group, Washington, DC, 2014-10)The "tapering talk" starting on May 22, 2013, when Federal Reserve Chairman Ben Bernanke first spoke of the possibility of the U.S. central bank reducing its security purchases, had a sharp negative impact on emerging markets. India was among those hardest hit. The rupee depreciated by 18 percent at one point, causing concerns that the country was heading toward a financial crisis. This paper contends that India was adversely impacted because it had received large capital flows in prior years and had large and liquid financial markets that were a convenient target for investors seeking to rebalance away from emerging markets. In addition, India's macroeconomic conditions had weakened in prior years, which rendered the economy vulnerable to capital outflows and limited the policy room for maneuver. The paper finds that the measures adopted to handle the impact of the tapering talk were not effective in stabilizing the financial markets and restoring confidence, implying that there may not be any easy choices when a country is caught in the midst of rebalancing of global portfolios. The authors suggest putting in place a medium-term policy framework that limits vulnerabilities in advance, while maximizing the policy space for responding to shocks. Elements of such a framework include a sound fiscal balance, sustainable current account deficit, and environment conducive to investment. In addition, India should continue to encourage relatively stable longer-term flows and discourage volatile short-term flows, hold a larger stock of reserves, avoid excessive appreciation of the exchange rate through interventions with the use of reserves and macroprudential policy, and prepare the banks and firms to handle greater exchange rate volatility.
Users also downloaded
Showing related downloaded files
No results found.