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Monitoring Privately-held Firms' Default Risk in Real Time: A Signal-Knowledge Transfer Learning Model
We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency, market-based, aggregate distress signals with low-frequency, firm-level financial ratios, and macroeconomic indicators. When provided with private firms' financial ratios, the model, which we name signal-knowledge transfer learning model (SKTL), transfers insights gained from 35 thousand publicly-traded firms to more than 4 million private-held ones and performs well as an ordinal measure of privately-held firms' default risk.
Political Fragility: Coups D’État and Their Drivers
The paper explores the drivers of political fragility by focusing on coups d’état as symptomatic of such fragility. It uses event studies to identify factors that exhibit significantly different dynamics in the runup to coups, and machine learning to identify these stressors and more structural determinants of fragility—as well as their nonlinear interactions—that create an environment propitious to coups. The paper finds that the destabilization of a country’s economic, political or security environment—such as low growth, high inflation, weak external positions, political instability and conflict—set the stage for a higher likelihood of coups, with overlapping stressors amplif...
How to Assess Country Risk
The IMF’s Vulnerability Exercise (VE) is a cross-country exercise that identifies country-specific near-term macroeconomic risks. As a key element of the Fund’s broader risk architecture, the VE is a bottom-up, multi-sectoral approach to risk assessments for all IMF member countries. The VE modeling toolkit is regularly updated in response to global economic developments and the latest modeling innovations. The new generation of VE models presented here leverages machine-learning algorithms. The models can better capture interactions between different parts of the economy and non-linear relationships that are not well measured in ”normal times.” The performance of machine-learning-based models is evaluated against more conventional models in a horse-race format. The paper also presents direct, transparent methods for communicating model results.
Spillovers from China’s Growth Slowdown to the Singapore Economy
This paper examines the impact of China's economic deceleration on Singapore, highlighting how the deepening trade integration and China's pivotal role in Global Value Chains (GVCs) amplify these spillover effects. Utilizing multi-region input-output tables, empirical estimates, and the IMF's Global Integrated Monetary and Fiscal model, it identifies significant sectoral and aggregate impacts, particularly in electrical and machinery manufacturing, petrochemicals, and financial services. The analysis underscores the vulnerability of Singapore's economy to shifts in Chinese demand and productivity, emphasizing the need for vigilant monitoring and strategic adaptation to mitigate potential risks associated with China's slowdown.
Upgrading Fiscal Frameworks in Asia-Pacific
This paper seeks to guide the reform of fiscal frameworks in Asia-Pacific in the context of calls for a more active fiscal policy in a shock-prone world. It highlights that the cost of fiscal support is large and that fiscal frameworks, including fiscal rules, are being put to the test given the sharp increase in debt, high interest and weaker growth prospects. The stress is only compounded by long-term challenges like aging populations, climate change and the need to deliver on the sustainable development goals. In this context, it is timely to review the effectiveness of fiscal policy in Asia-Pacific and seek for ways to strengthen fiscal frameworks. After the global financial crisis, fisc...
U.S. Monetary Policy Spillovers to Middle East and Central Asia: Shocks, Fundamentals, and Propagations
We empirically examine U.S. monetary policy spillovers to the Middle East and Central Asia (ME & CA) region by decomposing U.S. interest rates changes into two orthogonal shocks: the pure monetary policy shock and the information news shock. Using a sample of 16 ME & CA countries, we find that when interest rates increase, the two shocks have opposite spillovers on the region. Tightening driven by contractionary monetary policy shocks hinders growth, while tightening driven by positive information news shocks boosts growth despite higher interest rates. Countries with weaker fundamentals face more negative spillovers from contractionary monetary policy shocks but may sometimes benefit more from positive information news shocks. Moreover, high oil prices mitigate both spillovers for oil exporters while global risk appetite amplifies both spillovers. Finally, we estimate a large degree of heterogeneity in the impact of the 2022 U.S. tightening cycle on ME & CA countries, with oil exporters with stronger fundamentals withstanding well the shock and oil importers with weaker fundamentals being hit the most.
Vietnam
Adverse external and domestic shocks led to a sharp slowdown in early 2023, but economic growth is gaining momentum thanks to a strong rebound in exports and expansionary fiscal and monetary policies. However, risks remain elevated, including because of a weak real estate sector and leveraged corporates. Headline inflation accelerated mostly owing to food prices. Despite a large current account surplus, the currency has been depreciating amidst record low domestic interest rates.
External Sector Report, 2020
Produced since 2012, the IMF’s annual External Sector Report analyzes global external developments and provides multilaterally consistent assessments of external positions, including current accounts, real exchange rates, external balance sheets, capital flows, and international reserves, of the world’s largest economies, representing over 90 percent of global GDP. Chapter 1 discusses the evolution of global external positions in 2019, external developments during the COVID-19 crisis, and policy priorities for responding to the crisis and for reducing excess imbalances over the medium term. Chapter 2 analyzes the relationship between the structure of external assets and liabilities—the...
Regional Economic Outlook, Middle East and Central Asia, October 2023
Across the Middle East and Central Asia, the combined effects of global headwinds, domestic challenges, and geopolitical risks weigh on economic momentum, and the outlook is highly uncertain. Growth is set to slow this year in the Middle East and North Africa region, driven by lower oil production, tight policy settings in emerging market and middle-income economies, the conflict in Sudan, and other country-specific factors. In the Caucasus and Central Asia, although migration, trade, and financial inflows following Russia’s war in Ukraine continue to support economic activity, growth is set to moderate slightly this year. Looking ahead, economic activity in the Middle East and North Afric...
