Middle East and Central Asia > Qatar

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Ken Miyajima
Econometric results suggest that Qatar’s strong capital spending multiplier became less impactful as the stock of capital rose to a high level, likely as the marginal impact declined. This supports Qatar’s strategy to shifts the State’s role to an enabler of private sector-led growth, focusing on expenditure to support build human capital and implementation of broader reform guided by the Third National Development Strategy.
Dorothy Nampewo
This paper develops a Financial Conditions Index (FCI) for Qatar and uses the Growth-at-Risk (GaR) framework to examine the impact of financial conditions on Qatar’s non-hydrocarbon growth. The analysis shows that the FCI is an important leading indicator of Qatar’s non-hydrocarbon growth, highlighting its predictive potential for future economic performance. The GaR framework suggests that overall, the current downside risks to Qatar’s baseline non-hydrocarbon growth projections are relatively mild.
International Monetary Fund. Middle East and Central Asia Dept.
Growth normalization after the 2022 FIFA World Cup continued with signs of activities strengthening more recently. Fiscal and external surpluses softened mainly due to lower hydrocarbon prices. Banks are healthy but pockets of vulnerabilities remain. Reform momentum has strengthened, guided by the Third National Development Strategy (NDS3).
International Monetary Fund. Middle East and Central Asia Dept.
The Gulf Cooperation Council countries have successfully weathered recent turbulence in the Middle East, and their economic prospects remain favorable. Nonhydrocarbon activity has been strong amid reform implementation, although overall growth has decelerated due to cuts in oil production. The growth outlook is positive, as the envisaged easing of oil production cuts and natural gas expansion spur the recovery in the hydrocarbon sector, while the nonhydrocarbon economy continues to expand. External buffers remain comfortable despite current account balances having narrowed. Risks around the outlook are broadly balanced in the near term. More challenging medium-term risks, especially in the context of geoeconomic fragmentation and climate change, call for action on policy priorities to continue to strengthen the private sector and to diversify the economy.
International Monetary Fund. Strategy, Policy, & Review Department
The global economy has proven resilient, and a soft landing is within reach. Inflation has moderated thanks to tight monetary policy and fading supply shocks, and growth is expected to remain steady. But uncertainty remains significant, with risks tilted to the downside; medium-term growth prospects are lackluster; public debt has reached record highs and is expected to approach 100 percent of GDP by 2030; and geoeconomic fragmentation threatens to undo decades of gains from cross-border economic integration. At the same time, transformative changes—the green transition, demographic shifts, and digitalization, including artificial intelligence—are poised to reshape the global economy, creating challenges but also opportunities. Against this background, the key policy priorities are to secure a soft landing and break from the low growth-high debt path, and address other medium-term challenges. Monetary policy should ensure inflation returns durably to the target, and fiscal policy needs to decisively pivot toward consolidation to rebuild buffers and safeguard debt sustainability. Growth-enhancing reforms are urgently needed to lift growth prospects by boosting investment, job creation, and productivity. Domestic policies must be complemented by multilateral efforts to support countries with debt vulnerabilities, protect gains from economic integration, accelerate climate action, and harness benefits of new technologies while mitigating the risks. As it has done since its founding 80 years ago, the IMF will continue to adapt to serve its members with tailored policy advice, financial lifelines when needed, and capacity development. The Fund will remain a strong advocate for multilateralism and economic integration as foundations on which to build a resilient and inclusive global economy.
International Monetary Fund. Monetary and Capital Markets Department

Abstract

Chapter 1 shows that although near-term financial stability risks have remained contained, mounting vulnerabilities could worsen future downside risks by amplifying shocks, which have become more probable because of the widening disconnect between elevated economic uncertainty and low financial volatility. Chapter 2 presents evidence that high macroeconomic uncertainty can threaten macrofinancial stability by exacerbating downside tail risks to markets, credit supply, and GDP growth. These relationships are stronger when debt vulnerabilities are elevated, or financial market volatility is low (during episodes of a macro-market disconnect). Chapter 3 assesses recent developments in AI and Generative AI and their implications for capital markets. It presents new analytical work and results from a global outreach to market participants and regulators, delineates potential benefits and risks that may arise from the widespread adoption of these new technologies, and makes suggestions for policy responses.

Yang Liu
,
Ran Pan
, and
Rui Xu
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships, and focusing on out-of-sample performance. In this paper, we apply machine learning (ML) models to forecast near-term core inflation in Japan post-pandemic. Japan is a challenging case, because inflation had been muted until 2022 and has now risen to a level not seen in four decades. Four machine learning models are applied to a large set of predictors alongside two benchmark models. For 2023, the two penalized regression models systematically outperform the benchmark models, with LASSO providing the most accurate forecast. Useful predictors of inflation post-2022 include household inflation expectations, inbound tourism, exchange rates, and the output gap.
International Monetary Fund. Finance Dept.
This paper provides an update on the status of the SDR trading market and operations. For more than three decades, SDRs have exclusively been exchanged for freely usable currencies in transactions by agreement, primarily through the Voluntary Trading Arrangements (VTAs). A small fraction of transactions by agreement—sales or acquisitions of SDRs—has been arranged directly between parties. VTAs are bilateral arrangements between the Fund and SDR department participants or prescribed holders, in which the VTA participants agree to buy and sell SDRs within certain limits. The paper covers SDR trading operations during the period September 2023 to August 2024.
International Monetary Fund. African Dept.
This Selected Issues paper delves into few applications of machine learning (ML), with a particular application to economic forecasts in Lesotho. Amid delayed and often revised gross domestic product data, this paper explores the potential of ML to provide real-time insights into growth and inflation trends, crucial for informed policymaking. By leveraging nontraditional data and employing a variety of ML models, the paper presents a comprehensive analysis of current economic activity, evaluates the accuracy of standard statistical measures, and forecasts future inflation trends. The findings underscore the efficacy of ML in reducing prediction errors and highlight the significant role of alternative data in circumventing the limitations posed by traditional economic indicators. This paper contributes to the broader debate on the application of advanced computational techniques in economic forecasting, offering valuable insights for policymakers in Lesotho and similar countries grappling with data constraints and the need for timely economic analysis.