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Middle East and Central Asia > Qatar

You are looking at 1 - 10 of 82 items for :

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Cover Selected Issues Papers
Financial Conditions and Their Growth Implications for Qatar
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.
Keywords:
Financial conditions; non-hydrocarbon growth; Qatar; GaR framework; growth projection; Qatar's baseline; copyright page; financial conditions indicator; Financial conditions index; Oil prices; Central bank policy rate; Deposit rates; Post-clearance customs audit; Global
Cover Policy Papers
The Managing Director's Global Policy Agenda, Annual Meetings 2024: Secure A Soft Landing And Break From The Low Growth–High Debt Path
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.
Keywords:
Artificial intelligence; Capital flows; Climate change; Debt sustainability; Digitalization; Economic integration; Inflation; Growth; Reforms; Integrated Policy Framework; Poverty reduction strategy; Revenue mobilization; break from the Low Growth-High Debt Path; secure a soft landing; Policy agenda; IMF staff measure; lending toolkit; Global
Cover Global Financial Stability Report, October 2024
Global Financial Stability Report, October 2024
Steadying the Course: Uncertainty, Artificial Intelligence, and Financial Stability
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.

Keywords:
financial stability; vulnerabilities; uncertainty; risk; artificial intelligence; capital markets; tail risk; uncertainty index; monetary policy; mortgage rate; market liquidity risk; fiscal policy uncertainty; Emerging and frontier financial markets; Financial sector stability; Sovereign bonds; Credit; Global; Middle East; Europe; Central and Eastern Europe; South America
Cover IMF Working Papers
Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning
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.
Keywords:
Core inflation; forecasting; machine learning models; LASSO; Japan; household inflation expectation; forecasting inflation; machine learning method; Annex I. machine learning; enhanced inflation; Inflation; Machine learning; Econometric models; Output gap
Cover IMF Working Papers
The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
Yueling Huang
This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in the employment-to-population ratio. Moreover, this negative employment effect is primarily borne by the manufacturing and lowskill services sectors, middle-skill workers, non-STEM occupations, and individuals at the two ends of the age distribution. The adverse impact is also more pronounced on men than women.
Keywords:
Artificial intelligence; technology; labor; local labor markets; shift share; middle-skill worker; labor market impact; impact of artificial intelligence; employment effect; low-skill services sectors; Employment; Employment rate; Labor markets; Global
Cover IMF Staff Country Reports
Kingdom of Lesotho: Selected Issues
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.
Keywords:
E. inflation forecasting; GDP Nowcasting result; D. GDP evaluation; C. GDP Nowcasting; ensemble Nowcasting model; Machine learning; Inflation; Africa; Global
Cover Policy Papers
Poverty Reduction and Growth Trust: 2024 Borrowing Agreements with Belgium, Denmark, France, Japan, Korea, And Qatar
International Monetary Fund. Finance Dept.
and
International Monetary Fund. Legal Dept.
This paper presents the last six borrowing agreements that were concluded between October 2023 and February 2024 to provide new loan resources to the Poverty Reduction and Growth Trust (PRGT) as part of the loan mobilization round launched in July 2021 to support low-income countries (LICs) during the pandemic and beyond. Five of the six agreements use SDRs in the context of SDR channeling. Together these borrowing agreements provide a total amount of SDR 3.9 billion in new PRGT loan resources. The 2021 loan fundraising campaign was concluded successfully. It mobilized total contributions of SDR 14.65 billion from 17 PRGT lenders, well exceeding the SDR 12.6 billion loan target.
Keywords:
transparency policy; PRGT loan disbursement; loan resource; SDR interest rate assumption; loan pledge; Loans; Poverty reduction and development; SDR interest rate
Cover IMF Staff Country Reports
Peru: Selected Issues
International Monetary Fund. Western Hemisphere Dept.
The Selected Issues paper focuses on productivity and growth in Peru. Firms have maintained smaller sizes to avoid the application of a profit-sharing legislation, which has resulted in lower productivity. After a decade of high economic growth averaging over 6 percent per year, potential growth has been falling since 2014. A much slower pace of investment and human has driven the decline capital accumulation, but most notably, a decline in total factor productivity growth. In line with the macroeconomic trends, firm-level productivity has worsened, and the decline has been broad-based across the economy. Special corporate tax regimes and labor legislations and regulations have created barriers to productivity growth. To raise productivity, policies will need to focus on reforming regulations that impose excessive costs to formalizing or growing a business. Down the line, introducing greater labor market flexibility would ensure that workers could transition to productive sectors of the economy and reduce labor informality.
Keywords:
El Niño shock; building RESILIENCE; B. Measuring productivity; B. artificial intelligence; total factor productivity growth; labor force complementarity; Climate change; Natural disasters; Productivity; Potential output; Artificial intelligence; Global; Caribbean
Cover Policy Papers
The Managing Director's Global Policy Agenda, Spring Meetings 2024: Rebuild, Revive, Renew
International Monetary Fund
The global economy has shown remarkable resilience, and appears headed for a soft landing. But buffers have been eroded, growth prospects are lackluster, and vulnerable countries are at risk of falling further behind. While inflation has fallen, it remains above target in many countries. Against this background, the key policy priorities are to: (i) rebuild buffers; (ii) revive medium-term growth; and (iii) renew the IMF’s commitment to ensure that our policies, lending toolkit, and governance are fit for purpose. Central banks need to finish the job on inflation, carefully managing its descent to target. With a soft landing in sight, policymakers’ focus needs to shift to fiscal consolidation to safeguard public finances. Reviving growth prospects will require accelerating structural reforms and joint efforts by countries to tackle transformational challenges. Firmly grounded in its mandate, working with its members, and in partnership with other international organizations, the IMF will continue to serve its members with policy advice, financial lifelines, and capacity development to help safeguard their economic and financial stability, a foundation for inclusive and sustainable growth.
Keywords:
Policy agenda; IMF surveillance; IMF-WTO dialogue; global Policy agenda; quota resource; lending capacity; Fiscal consolidation; Inclusive growth; Financial sector stability; Financial sector risk; Artificial intelligence; Global
Cover Policy Papers
Review of the Fund’s Capacity Development Strategy—Towards a More Flexible, Integrated, and Tailored Model
International Monetary Fund. Institute for Capacity Development
Capacity Development (CD), comprising technical assistance and training, fosters economic development by improving human capital and institutions in member countries. Every five years, the IMF reviews its CD Strategy to ensure that CD continues to be of high quality and well-focused on the needs of its members. This review calls for CD to become more flexible, integrated with the Fund’s policy advice and lending, and tailored to respond to member needs. The review benefitted from the recent independent evaluation of the Fund’s CD and a wide range of inputs, including internal and external consultations, surveys of recipients and development partners, staff background studies and recommendations of an External Advisory Group. The vision for CD is informed by the Fund’s comparative advantages and surveillance priorities. The proposals of the current review center around the six key areas: (1) strengthening CD prioritization and integration; (2) enhancing the funding model; (3) strengthening monitoring and evaluation; (4) modernizing modalities; (5) enhancing field presence; and (5) strengthening human resources policies for staff working on CD.
Keywords:
Capacity Development; Technical Assistance; Training; Institution; Priorities; Evaluation; Impact; Field Presence; Regional Capacity Development Center; Background Papers; CD personnel structure; CD priority; CD financing initiative; CD Strategy Review; CD governance; CD integration; CD relative; CD partner; strategy review; CD model; CD efficiency; CD stabilization mechanism; Comparative advantage; Artificial intelligence; Revenue mobilization; Climate change; Global