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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.
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.
Mr. Robin Koepke
and
Simon Paetzold
This paper provides an analytical overview of the most widely used capital flow datasets. The paper is written as a guide for academics who embark on empirical research projects and for policymakers who need timely information on capital flow developments to inform their decisions. We address common misconceptions about capital flow data and discuss differences between high-frequency proxies for portfolio flows. In a nowcasting “horse race” we show that high-frequency proxies have significant predictive content for portfolio flows from the balance of payments (BoP). We also construct a new dataset for academic use, consisting of monthly portfolio flows broadly consistent with BoP data.
International Monetary Fund. Statistics Dept.
The contents of this report constitute technical advice provided by the staff of the IMF to the authorities of the Republic of Belarus in response to their request for technical assistance. The principal purposes of the mission were to review with the National Statistical Committee of the Republic of Belarus (Belstat) current data sources; identify data sources that needed to be improved; demonstrate how to construct the tables; and prepare a work plan. The mission noted a few instances where the data could be improved through the provision of more detail or verification that the classification had been done correctly. The mission worked with Belstat staff to show how the currently available data sources should be used to compile sector balance sheets and how to use these data to construct the sector financial accounts. The mission recommended that Belstat prepare the financial balance sheets (FABS) for 2017 using the data presently available. The mission recommended that Belstat staff be encouraged to apply for courses on the FABS, such as those offered by the IMF.
International Monetary Fund. Statistics Dept.
This technical assistance (TA) mission on Government Finance Statistics (GFS) was conducted during December 2-13, 2019.. 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 strengthen the compilation and dissemination of GFS in line with international standards set out in the Government Finance Statistics Manual 2014 (GFSM 2014).
Mr. Paul Henri Mathieu
,
Mr. Marco Pani
,
Shiyuan Chen
, and
Mr. Rodolfo Maino
Using data collected from pan-African banks’ (PABs), balance sheets and other sources (Orbis, Fitch), this study identifies some key patterns of cross-border investment in bank subsidiaries by key banking groups in sub-Saharan Africa (SSA) and discusses some of the determinants of this investment. Using a gravity model relating the annual value of a banking group’s investment in the net equity of its subsidiaries to a set of explanatory variables, the analysis finds that cross-border banking is in part driven by a search for yield, diversification, and expansion for strategic reasons.
Ms. Yu Shi
,
Robert M. Townsend
, and
Wu Zhu
Using business registry data from China, we show that internal capital markets in business groups can propagate corporate shareholders’ credit supply shocks to their subsidiaries. An average of 16.7% local bank credit growth where corporate shareholders are located would increase subsidiaries investment by 1% of their tangible fixed asset value, which accounts for 71% (7%) of the median (average) investment rate among these firms. We argue that equity exchanges is one channel through which corporate shareholders transmit bank credit supply shocks to the subsidiaries and provide empirical evidence to support the channel.