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International Financial Statistics, May 2018
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.
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.
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.
Financial Soundness Indicators (FSIs) are measures that indicate the current financial health and soundness of a country's financial institutions, and their corporate and household counterparts. FSIs include both aggregated individual institution data and indicators that are representative of the markets in which the financial institutions operate. FSIs are calculated and disseminated for the purpose of supporting macroprudential analysis--the assessment and surveillance of the strengths and vulnerabilities of financial systems--with a view to strengthening financial stability and limiting the likelihood of financial crises. Financial Soundness Indicators: Compilation Guide is intended to give guidance on the concepts, sources, and compilation and dissemination techniques underlying FSIs; to encourage the use and cross-country comparison of these data; and, thereby, to support national and international surveillance of financial systems.
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.
The sizeable increase in income inequality experienced in advanced economies and many parts of the world since the 1990s and the severe consequences of the global economic and financial crisis have brought distributional issues to the top of the policy agenda. The challenge for many governments is to address concerns over rising inequality while simultaneously promoting economic efficiency and more robust economic growth. The book delves into this discussion by analyzing fiscal policy and its link with inequality. Fiscal policy is the government’s most powerful tool for addressing inequality. It affects households ‘consumption directly (through taxes and transfers) and indirectly (via incentives for work and production and the provision of public goods and individual services such as education and health). An important message of the book is that growth and equity are not necessarily at odds; with the appropriate mix of policy instruments and careful policy design, countries can in many cases achieve better distributional outcomes and improve economic efficiency. Country studies (on the Netherlands, China, India, Republic of Congo, and Brazil) demonstrate the diversity of challenges across countries and their differing capacity to use fiscal policy for redistribution. The analysis presented in the book builds on and extends work done at the IMF, and also includes contributions from leading academics.
The Annual Report on Exchange Arrangements and Exchange Restrictions has been published by the IMF since 1950. It draws on information available to the IMF from a number of sources, including that provided in the course of official staff visits to member countries, and has been prepared in close consultation with national authorities.
The last time global sovereign debt reached the level seen today was at the end of the Second World War, and this shaped a generation of economic policymaking. International institutions were transformed, country policies were often draconian and distortive, and many crises ensued. By the early 1970s, when debt fell back to pre-war levels, the world was radically different. It is likely that changes of a similar magnitude -for better and for worse - will play out over coming decades. Sovereign Debt: A Guide for Economists and Practitioners is an attempt to build some structure around the issues of sovereign debt to help guide economists, practitioners and policymakers through this complicated, but not intractable, subject. Sovereign Debt brings together some of the world's leading researchers and specialists in sovereign debt to cover a range of sub-disciplines within this vast topic. It explores debt management with debt sustainability; debt reduction policies with crisis prevention policies; and the history with the conjuncture. It is a foundation text for all those interested in sovereign debt, with a particular focus real world examples and issues.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.