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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.
Andinet Woldemichael
and
Iyke Maduako
Housing represents the largest asset and liability, in the form of mortgages, on most national balance sheet. For most households it is their largest investment, and when mortgages are required also represents the largest component of household debt. It is also directly tied to financial markets, both the mortgage market and insurance sector. Although many countries have a rich set of housing censuses and statistics, others have large data gap in this area and therefore struggle to formulate effective policies. This paper proposes an approach to construct a global census of residential buildings using opensource satellite data. Such a layer can be used to assess the extent these buildings are exposed to climate hazards and how their production and consumption, in turn, affect the climate. The approach we propose could be scaled globally, combining existing layers of building footprints, climate and socioeconomic data. It adds to the ongoing effort of compiling spatially explicit and granular climate indicators to better inform policies. As a case study, we compute selected indicators and estimate the extent of residential properties exposure to riverine flood risk for Kenya.
Bruno Casella
,
Maria Borga
, and
Mr. Konstantin Wacker
In a complex global production landscape, the quest for measures of economic activity by multinational enterprises (MNEs) has become more pressing. Foreign Direct Investment (FDI) statistics, which capture financing aspects of MNEs, have often been used as a proxy for multinational production given their wide availability and cross-country comparability, but concerns that multinational production occurs in different countries than where financial positions are recorded call this practice into question. This paper revisits the main objections to the use of FDI as a proxy for multinational production, explores counterarguments, and provides guidance on the use of FDI statistics to measure multinational production.
International Monetary Fund. Statistics Dept.
This technical assistance report on Suriname highlights proceedings of the Government Finance Statistics (GFS) mission. The authorities have partially followed the recommendations from previous mission that took place in April 2022. While there has been significant progress in below-the-line data, little progress has been made in above-the-line data. Compilers from the Statistics Department of the Central Bank of Suriname have compiled a financial balance sheet of the Central Government (CG) to assure the integration of flows with the stocks of financial assets and liabilities. In addition, they perform regular consistency checks of data on the CG deposits and loans with the recordings in the banking system. No developments have been achieved regarding the institutional sector coverage and little progress has been done regarding the above-the-line data compilation. One of the main issues that hamper GFS data quality is that no comprehensive data on the government revenues and expenditure exist in Suriname. The mission provided an extended hands-on training for the main GFS team compiling above-the-line transactions.
Maddalena Ghio
,
Linda Rousova
,
Dilyara Salakhova
, and
German Villegas Bauer
During the March 2020 market turmoil, euro area money-market funds (MMFs) experienced significant outflows, reaching almost 8% of assets under management. This paper investigates whether the volatility in MMF flows was driven by investors’ liquidity needs related to derivative margin payments. We combine three highly granular unique data sources (EMIR data for derivatives, SHSS data for investor holdings of MMFs and Refinitiv Lipper data for daily MMF flows) to construct a daily fund-level panel dataset spanning from February to April 2020. We estimate the effects of variation margin paid and received by the largest holders of EURdenominated MMFs on flows of these MMFs. The main findings suggest that variation margin payments faced by some investors holding MMFs were an important driver of the flows of EUR-denominated MMFs domiciled in euro area.
International Monetary Fund. Statistics Dept.
This technical assistance (TA) mission on Government Finance Statistics was conducted during April 19– May 6, 2022. The main purpose of the mission was to review the progress made by the authorities in implementing previous TA recommendations and provide further support to improve fiscal data compilation and dissemination in line with international standards set out in the Government Finance Statistics Manual 2014.
International Monetary Fund. Statistics Dept.
At the request of the Suriname authorities, a remote technical assistance (TA) mission took place during December 6–17, 2021. The mission was conducted in coordination with the IMF’s Western Hemisphere Department. The main objective of the mission was to assist the Ministry of Finance and Planning (MFP) and the Central Bank of Suriname (CBS) to improve the quality of the Government Finance Statistics (GFS) in view of the IMF program. The main tasks were to (i) conduct a diagnostic assessment of the current GFS and public debt compilation process,(ii) explain and reduce statistical discrepancies, (iii) analyze data on arrears and reassess their treatment in GFS, (iv) review the integration of stocks and flows of the gross debt; and (v) update the public sector institutional table, and (vi) deliver a workshop on GFSM 2014 framework and (PSDS).
International Monetary Fund. African Dept.
A technical assistance (TA) mission on Government Finance Statistics (GFS) and Public Sector Debt Statistics (PSDS) visited the city of Praia, Republic of Cabo Verde, from July 22 to August 2, 2019, with the aim of putting more and better-quality fiscal data —particularly on PSDS — in the hands of public decision makers. The mission was funded by the Data for Decisions (D4D) fund under module 1 on fiscal data including debt.
International Monetary Fund. Statistics Dept.
At the request of the Ministry of Economy and Finance (MEF) and in consultation with the Africa Department (AFR) of the International Monetary Fund (IMF), a remote Government Finance Statistics (GFS) mission from the Statistics Department (STA) took place in Madagascar from October 26 to November 13, 2020. The objective of this mission was to continue supporting the authorities in their project to adopt international GFS standards based on the methodology of the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics Guide (PSDSG) and to improve GFS in general.
Carlos Caceres
,
Dan Pan
, and
Suchanan Tambunlertchai
This paper analyzes a group of 755 firms, with aggregate indebtedness of US$6.2 trillion, to assess the solvency risks and liquidity needs facing the U.S. corporate sector based on projections of net income, availability and cost of funding, and debt servicing flows under different stress test scenarios. The paper finds that leveraged corporates account for most of the potential losses arising from the macroeconomic stresses associated with the COVID-19 crisis, with a concentration of these losses in the oil and gas, auto, and capital and durable goods manufacturing sectors. However, potential losses from corporate debt write-downs appear to be a fraction of banks’ capital buffers and, given the size of the leveraged segment and the relatively long duration of that sector’s debt, the near-term liquidity needs of these corporates appear modest. Corporate stresses could, however, amplify the current economic downturn—as firms cut investment spending and reduce employment—potentially giving rise to significant indirect losses for the financial system.