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Middle East and Central Asia > Qatar

You are looking at 1 - 7 of 7 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
Gulf Cooperation Council: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
GCC policymakers have managed to quickly mitigate the economic impact of the twin COVID-19 and oil price shock. Commodity prices have surged, and the outlook is more positive for GCC countries, with new challenges linked to Russia’s invasion of Ukraine and tighter global financial conditions expected to have a limited impact on GCC economies. While GCC countries have overall benefited from higher, albeit volatile hydrocarbon prices, numerous risks still cloud the outlook—notably a slowdown in the global economy. In this context, the reform momentum established during the low oil price years should be maintained—irrespective of the level of hydrocarbon prices.
Keywords:
inflation dynamics; diversification Index; food CPI weight; Oil prices; Financial conditions index; Global
Cover IMF Working Papers
Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
Mr. Jean-Francois Dauphin
,
Mr. Kamil Dybczak
,
Morgan Maneely
,
Marzie Taheri Sanjani
,
Mrs. Nujin Suphaphiphat
,
Yifei Wang
, and
Hanqi Zhang
This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning (ML) algorithms to nowcast GDP growth across a heterogenous group of European economies during normal and crisis times. Most of our methods significantly outperform the AR(1) benchmark model. Our DFMs tend to perform better during normal times while many of the ML methods we used performed strongly at identifying turning points. Our approach is easily applicable to other countries, subject to data availability.
Keywords:
Nowcasting; Factor Model; Machine Learning; Large Data Sets; machine learning algorithm; novel data; approach Using DFM; support vector Machine; data availability; Machine learning; COVID-19; Business cycles; Factor models; Global; Caribbean; Europe
Cover Policy Papers
Economic Prospects and Policy Challenges for the GCC Countries - 2021
International Monetary Fund
GCC policymakers moved quickly to mitigate the health and economic impacts of twin COVID-19 and oil price shocks. Infection rates have declined across the GCC to well below previous peaks, though countries have experienced successive waves of the virus, and economic recoveries have begun to take hold. Nevertheless, GCC policymakers must navigate a challenging and uncertain landscape. The pandemic continues to cloud the global outlook as countries are in different phases of recovery, with varied growth prospects and policy space
Keywords:
oil market development; oil growth; oil balance; climate change impact; GCC economy; Oil prices; COVID-19; Oil consumption; Climate change; Global; Fiscal stance
Cover IMF Research Bulletin
IMF Research Perspectives: Spring/Summer 2018
IMF Research Perspective (formerly published as IMF Research Bulletin) is a new, redesigned online newsletter covering updates on IMF research. In the inaugural issue of the newsletter, Hites Ahir interviews Valeria Cerra; and they discuss the economic environment 10 years after the global financial crisis. Research Summaries cover the rise of populism; economic reform; labor and technology; big data; and the relationship between happiness and productivity. Sweta C. Saxena was the guest editor for this inaugural issue.
Keywords:
IRB; big data wave; populism; product market reform; reform agenda; rise of populism; big data innovation; Big data; Global financial crisis of 2008-2009; Personal income; Output gap; Global; Europe
Cover IMF Working Papers
Seeing in the Dark: A Machine-Learning Approach to Nowcasting in Lebanon
Mr. Andrew J Tiffin
Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that our analysis often relies on proxy variables, and resembles an extended version of the “nowcasting” challenge familiar to many central banks. Addressing this problem—and mindful of the pitfalls of extracting information from a large number of correlated proxies—we explore some recent techniques from the machine learning literature. We focus on two popular techniques (Elastic Net regression and Random Forests) and provide an estimation procedure that is intuitively familiar and well suited to the challenging features of Lebanon’s data.
Keywords:
WP; GDP; Macroeconomic Forecasts; Nowcasting; Random Forests; Elastic Net; LASSO; Statistical Learning; Cross Validation; Ensemble; Variable Selection; Lebanon; GDP data; coefficient estimate; ridge regression; regression tree; GDP growth; machine-learning technique; GDP movement; GDP release; Machine learning; Cyclical indicators
Cover IMF Working Papers
Desynchronized: The Comovement of Non-Hydrocarbon Business Cycles in the GCC
Mr. Serhan Cevik
This paper investigates the empirical characteristics of business cycles and the extent of cyclical comovement in the Gulf Cooperation Council (GCC) countries, using various measures of synchronization for non-hydrocarbon GDP and constituents of aggregate demand during the period 1990-2010. By applying the Christiano-Fitzgerald asymmetric band-pass filter and a mean corrected concordance index, the paper identifies the degree of non-hydrocarbon business cycle synchronization?one of the main prerequisites for countries considering to establish a monetary union. The empirical results show low and heterogeneous synchronization in non-hydrocarbon business cycles across the GCC economies, and a decline in the degree of synchronicity in the 2000s, if Kuwait is excluded from the sample, partly because of divergent fiscal policies.
Keywords:
WP; GCC country; aggregate demand; Business cycles; business cycle synchronization; band-pass filter; concordance; GCC economy; Non-hydrocarbon business cycle frequency; business cycle analysis; pairwise correlation coefficients; business cycle desynchronization; Monetary unions; Private consumption; Government consumption; Public investment spending; Asia and Pacific; Global