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The December 2016 issue of International Financial Statistics (IFS) is a standard source of statistics on all aspects of international and domestic finance. This issue presents countries newly reporting monetary data for Norway using the standardized report forms. In this issue, the following changes have been made: Changes to the group aggregates aligned with those published in the IMF’s World Economic Outlook (WEO): (1) Move of China, P. R.: Macao (546) out of Emerging and Developing Asia (505) to Advanced Economies (110); (2) Move of Bolivia (218) and Colombia (233) out of Export Earnings: Nonfuel economies (092) to Export Earnings: Fuel economies (080). Removal of China, P. R.: Macao (546), Latvia (941), and Lithuania (946) out of Export Earnings: Nonfuel economies (092). For countries where multiple exchange rates are in effect, Fund staff estimates of weighted average exchange rates are used in many cases.
This paper describes the compilation of the Global Debt Database (GDD), a cutting-edge dataset covering private and public debt for virtually the entire world (190 countries) dating back to the 1950s. The GDD is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor, which pioneered the expansion of private debt series to a global sample. It differs from existing datasets in three major ways. First, it takes a fundamentally new approach to compiling historical data. Where most debt datasets either provide long series with a narrow and changing definition of debt or comprehensive debt concepts over a short period, the GDD adopts a multidimensional approach by offering multiple debt series with different coverages, thus ensuring consistency across time. Second, it more than doubles the cross-sectional dimension of existing private debt datasets. Finally, the integrity of the data has been checked through bilateral consultations with officials and IMF country desks of all countries in the sample, setting a higher data quality standard.
International Financial Statistics, September 2016
International Financial Statistics, Database & Browser, December 2018
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.
This paper describes the country, euro area, and world tables that provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. A nominal effective exchange rate index represents the ratio of an index of a currency’s period-average exchange rate to a weighted geometric average of exchange rates for the currencies of selected countries and the euro area. A real effective exchange rate index represents a nominal effective exchange rate index adjusted for relative movements in national price or cost indicators of the home country, selected countries, and the euro area. For ease of comparison between the nominal effective exchange rate index and the real effective exchange rate index, the average exchange rate expressed in terms of US dollars per unit of each of the national currencies is also given in the index form, base 2010 = 100.
This January 2019 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.
This edition of Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process of monetary statistics. The Manual is aimed at compilers and users of monetary data, offering guidance for the collection and analytical presentation of monetary statistics. The Manual includes standardized report forms, providing countries with a tool for compiling and reporting harmonized data for the central bank, other depository corporations, and other financial corporations.

Germany

International Monetary Fund. Monetary and Capital Markets Department

Published: 2016-06-29

Total Pages: 118


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This paper evaluates the risks and vulnerabilities of the German financial system and reviews both the German regulatory and supervisory framework and implementation of the common European framework insofar as it is relevant for Germany. The country is home to two global systemically important financial institutions, Deutsche Bank AG and Allianz SE. The system is also very heterogeneous, with a range of business models and a large number of smaller banks and insurers. The regulatory landscape has changed profoundly with strengthened solvency and liquidity regulations for banks (the EU Capital Requirements Regulation and Directive IV), and the introduction of macroprudential tools.
The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018