International Financial Statistics, September 2017

International Financial Statistics, September 2017
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1054
Release: 2017-08-31
Genre: Business & Economics
ISBN: 147557195X

This paper discusses the complete set of updated country notes is accessible from the IFS Online Service internet site (in the Metadata tab), and appear on the DVD-ROM edition of IFS under the Publications tab. A print edition of Country Notes may be ordered separately by subscribers of the DVD-ROM. The sources for the unit labor cost data are the OECD Analytical Database (quarterly unit labor cost in manufacturing) and IMF staff (annual data interpolated into higher frequencies). Euro area unit labor cost is used as a proxy for a number of economies for which data are unavailable: Cyprus, Czech Republic, Estonia, Latvia, Lithuania, Malta, and Slovak Republic. For manufactured goods, trade by type of good and market is distinguished in the database. For primary products, the weights assigned depend principally on a country’s role as a global supplier or buyer of the product. Trade in crude petroleum, petroleum, and other energy products are excluded. For some countries that heavily depend on tourism, bilateral exports of tourism services averaged over 2004–2006 are also included in calculating the competitiveness weights.

The Global Findex Database 2017

The Global Findex Database 2017
Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
Total Pages: 228
Release: 2018-04-19
Genre: Business & Economics
ISBN: 1464812683

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

International Financial Statistics, September 2018

International Financial Statistics, September 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1099
Release: 2018-09-04
Genre: Business & Economics
ISBN: 1484354206

This monthly issue of International Financial Statistics (IFS) contains country tables for most IMF members, as well as for Anguilla, Aruba, the Central African Economic and Monetary Community, Curaçao, the currency union of Curaçao and Sint Maarten, the Eastern Caribbean Currency Union, the euro area, Montserrat, the former Netherlands Antilles, Sint Maarten, the West African Economic Monetary Union, West Bank and Gaza, and some non-sovereign territorial entities for which statistics are provided internationally on a separate basis. Exchange rates in IFS are classified into three broad categories, reflecting the role of the authorities in determining the rates and/or the multiplicity of the exchange rates in a country. The three categories are the market rate, describing an exchange rate determined largely by market forces; the official rate, describing an exchange rate determined by the authorities—sometimes in a flexible manner; and the principal, secondary, or tertiary rate, for countries maintaining multiple exchange arrangements.

International Financial Statistics, April 2017

International Financial Statistics, April 2017
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 898
Release: 2017-03-31
Genre: Business & Economics
ISBN: 1475571585

This paper provides notes to the country tables in the monthly issues provide information about exceptions in the choice of the consumer price index and the period average exchange rate index. For a relatively small number of countries, notes in the country tables in the monthly issues indicate where alternative price indices, such as the wholesale/producer price index or a weighted average of several price indices, are used; where data constraints have made it necessary to use weighting schemes based on aggregate bilateral non-oil trade data; and where trade in services (such as tourism) has been taken into account. When a country joins the IMF, it is assigned a quota that fits into the structure of existing quotas. Quotas are considered in the light of the member’s economic characteristics, and taking into account quotas of similar countries. Quotas are reviewed at intervals of not more than five years. The reviews take account of changes in the relative economic positions of members and the growth of the world economy.

Big Data

Big Data
Author: Cornelia Hammer
Publisher: International Monetary Fund
Total Pages: 41
Release: 2017-09-13
Genre: Business & Economics
ISBN: 1484318978

Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.

International Financial Statistics , August 2018

International Financial Statistics , August 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1094
Release: 2018-08-01
Genre: Business & Economics
ISBN: 1484354141

International Financial Statistics, Database & Browser, August 2018

International Financial Statistics, December 2018

International Financial Statistics, December 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1102
Release: 2018-12-19
Genre: Business & Economics
ISBN: 1484354192

International Financial Statistics, Database & Browser, December 2018

International Financial Statistics, October 2018

International Financial Statistics, October 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1101
Release: 2018-10-01
Genre: Business & Economics
ISBN: 1484354176

International Financial Statistics, Database & Browser, October 2018

International Financial Statistics, June 2018

International Financial Statistics, June 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1077
Release: 2018-06-01
Genre: Business & Economics
ISBN: 1484331486

This paper discusses that Special Drawing Rights (SDRs) have been allocated by the IMF to members that are participants in the SDR Department (at the time of allocation) in proportion to their quotas in the IMF. Six allocations, totaling 21.4 billion SDR, were made by the IMF in 1970, 1971, 1972, 1979, 1980, and 1981. In addition, a general allocation of 161.2 billion SDR was made on August 28, 2009, and a special allocation of 21.5 billion SDR was made on September 9, 2009. The IMF cannot allocate SDRs to itself, but can receive them from members through various financial transactions and operations. Entities authorized to conduct transactions in SDRs are the IMF itself, participants in the SDR Department, and other prescribed holders. The SDR can be used for a wide range of transactions and operations, including for acquiring other members’ currencies, settling financial obligations, making donations, and extending loans.

International Financial Statistics Yearbook, 2018

International Financial Statistics Yearbook, 2018
Author: International Monetary Fund. Statistics Dept.
Publisher: International Monetary Fund
Total Pages: 1471
Release: 2018-08-01
Genre: Business & Economics
ISBN: 1484354281

This 2018 yearbook issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. The IMF publishes calculated effective exchange rates data only for countries that have given their approval. The country, euro area, and world tables provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. The real effective exchange rate index in line rec is derived from the nominal effective exchange rate index, adjusted for relative changes in consumer prices. Consumer price indices, often available monthly, are used as a measure of domestic costs and prices for these countries.