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Business and Economics > Information Management

You are looking at 1 - 10 of 18 items for :

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Cover Selected Issues Papers
Public Procurement in South Africa: Issues and Reform Options
Mr. Alejandro Simone
and
Vybhavi Balasundharam
The 2015 Supply Chain Management Review lays out a sound agenda for procurement reform. The ongoing work on a new procurement bill and regulations are an important opportunity to spearhead procurement reform and step-up implementation. Several important reform aspects worth prioritizing are the simplification and standardization of aprocurement procedures, the standardization of transparency requirements through the adoption of the Open Contracting Data Standards, transitioning to a new e-procurement system that is linked to the government’s integrated financial management information system (IFMIS) and other systems, making preferential procurement more cost effective and goal oriented, and strengthening staff capacity to carry out procurement. Opportunities to centralize procurement should be further explored to leverage and develop limited capacity.
Keywords:
National Government Expenditure; Performance of Government; Public Goods; Public Procurement; Expenditure efficiency; procurement reform; reform option; e-procurement system; step-up implementation; procurement contract; Public sector; Integrated financial management information systems; Open data; Africa
Cover FinTech Notes
The Rise of Payment and Contracting Platforms
Mr. Tobias Adrian
and
Mr. Tommaso Mancini Griffoli
This Note explores the design and governance of platforms to enhance cross-border payments in line with public policy goals. While much innovation in recent years has more narrowly targeted end-user frictions, the vision in this paper is based on the mandate of the IMF, governed by the central banks and finance ministries of 190 member countries. Cross-border payments present the foundation for the global financial system, and its functioning is overseen by the IMF.
Keywords:
cross-border payments; platforms; central bank digital currencies; digital money; foreign exchange; settlement; programmability encryption; cross-border payment; note 2023/005; anatomy of payment; XC platform; platform operator; International reserves; Information and data management; Anti-money laundering and combating the financing of terrorism (AML/CFT); Global
Cover IMF Staff Country Reports
Solomon Islands: Selected Issues
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper on Solomon Island discusses big data and high frequency surveillance for Pacific Islands countries (PICs). Big data can be used to fill data gaps for PICs and the IMF can serve as a capacity-building and innovation hub. The estimators computed based on AIS data have been used as part of the surveillance dashboard by the Solomon Islands team and have been discussed with the authorities. Initiatives like the Arslanalp, Koepke, and Verschuur estimation exploit cross-country synergies and technical expertise available at the IMF to provide valuable inputs for both internal and external use. Other potential applications of the Automatic Identification System (AIS) can expand on this effort, for example, some single-country applications are monitoring of fishing vessels to estimate fishing rents from daily vessel schemes, monitoring export-related ships to monitor for piracy/exports misreporting, track tourism in real time, etc. Given the global nature of the AIS data, it can also be used to analyze global supply chains, trade disruptions from natural disasters, the effect of trade policies, etc.
Keywords:
Honiara port activity; export volume; D. trade flow; import volume; Island port activity; Imports; Exports; Trade balance; COVID-19; Agroindustries; Global; Pacific Islands
Cover IMF Working Papers
Derivative Margin Calls: A New Driver of MMF Flows
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.
Keywords:
liquidity risk; money market funds; big data; interconnectedness; non-bank financial intermediaries.; EUR-denominated MMFs; derivative margin calls; MMF flow; variation margin payment; VM flow; Stocks; Liquidity; Mutual funds; Nonbank financial institutions; Pension spending; Global; IMF working paper research Department; derivatives reform; margin payment; Derivative markets
Cover IMF Staff Country Reports
Peru: Technical Assistance Report-Consumer Price Index Mission
International Monetary Fund. Statistics Dept.
This technical assistance mission collaborated with the National Institute of Statistics and Informatics in Peru to incorporate big data methods into compilation of the consumer price index (CPI). This includes both prices ingested from the websites of large retailers and data recorded through in-store checkout scanners.
Keywords:
consumer price index mission; scanner data; staff team of the International Monetary Fund; World Bank staff; data provider; Consumer price indexes; Data collection; Data processing; Big data
Cover IMF Staff Country Reports
Republic of Latvia: Selected Issues
International Monetary Fund. African Dept.
Selected Issues
Keywords:
term premium; premium in the Baltic; staff team of the International Monetary Fund; nominal NPLS; Latvia's lending rate; Loans; Credit; Big data; Nonperforming loans; Bank credit; Baltics
Cover IMF Working Papers
Building Statistical Capacity in Fragile and Conflict-Affected States
Yasmin Alem
and
Jacinta Bernadette Shirakawa
Based on internal data, this paper finds that the capacity development program of the IMF’s Statistics Department has prioritized technical assistance and training to fragile and conflict-affected states. These interventions have yielded only slightly weaker results in fragile states than in other states. However, capacity development is constantly needed to make up for the dissipation of progress resulting from insufficient resources that fragile and conflict-affected states allocate to the statistical function, inadequate inter-agency coordination, and the pervasive impact of shocks exogenous to the statistical system. Greater coordination with other capacity development providers and within the IMF can help partially overcome low absorptive capacity in fragile states. Statistical capacity development is more effective when it is tailored to countries’ level of fragility.
Keywords:
Capacity Development; Statistics; Data; Fragile States; Sta CD mission; government finance statistics manual; Sta CD delivery; Sta CD spending; World Bank methodology assessment; Income; Government finance statistics; External sector statistics; Information and data management; Middle East and Central Asia; Pacific Islands; Middle East; West Africa; Africa; Central Africa; Global
Cover IMF Working Papers
Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity
Mr. Paul A Austin
,
Mr. Marco Marini
,
Alberto Sanchez
,
Chima Simpson-Bell
, and
James Tebrake
As the pandemic heigthened policymakers’ demand for more frequent and timely indicators to assess economic activities, traditional data collection and compilation methods to produce official indicators are falling short—triggering stronger interest in real time data to provide early signals of turning points in economic activity. In this paper, we examine how data extracted from the Google Places API and Google Trends can be used to develop high frequency indicators aligned to the statistical concepts, classifications, and definitions used in producing official measures. The approach is illustrated by use of Google data-derived indicators that predict well the GDP trajectories of selected countries during the early stage of COVID-19. To this end, we developed a methodological toolkit for national compilers interested in using Google data to enhance the timeliness and frequency of economic indicators.
Keywords:
Reopening; COVID-19; High-Frequency Data; Business Register.; Google Trends data; Google data; high-frequency data; high frequency indicator; reopening Indicator; APIs; Big data; Manufacturing; Africa; Global
Cover IMF Working Papers
World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch
Diego A. Cerdeiro
,
Andras Komaromi
,
Yang Liu
, and
Mamoon Saeed
Maritime data from the Automatic Identification System (AIS) have emerged as a potential source for real time information on trade activity. However, no globally applicable end-to-end solution has been published to transform raw AIS messages into economically meaningful, policy-relevant indicators of international trade. Our paper proposes and tests a set of algorithms to fill this gap. We build indicators of world seaborne trade using raw data from the radio signals that the global vessel fleet emits for navigational safety purposes. We leverage different machine-learning techniques to identify port boundaries, construct port-to-port voyages, and estimate trade volumes at the world, bilateral and within-country levels. Our methodology achieves a good fit with official trade statistics for many countries and for the world in aggregate. We also show the usefulness of our approach for sectoral analyses of crude oil trade, and for event studies such as Hurricane Maria and the effect of measures taken to contain the spread of the novel coronavirus. Going forward, ongoing refinements of our algorithms, additional data on vessel characteristics, and country-specific knowledge should help improve the performance of our general approach for several country cases.
Keywords:
port visit; machine-learning technique; data from the Automatic Identification System; port call; trade activity; Imports; Exports; Oil; Machine learning; Trade balance; Global
Cover IMF Research Bulletin
IMF Research Bulletin, Fall-Winter 2019
International Monetary Fund. Research Dept.
It has been two years since the trade tensions erupted and not only captured policymakers’ but also the research community’s attention. Research has quickly zoomed in on understanding trade war rhetoric, tariff implementation, and economic impacts. The first article in the December 2019 issue sheds light on the consequences of the recent trade barriers.
Keywords:
IRB; trade; debt measurement; exporter; policy session; firm; Mundell-Fleming Lecture; US-China trade tension; tariff factor; Exports; Tariffs; Infrastructure; Big data; Trade liberalization; Global; East Asia; North America; Sub-Saharan Africa; Europe; Africa; threshold ModelsHow; ship movement; TrajectoriesThe global financial crisis; Imports; Asia and Pacific