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Exchange-traded derivatives statistics

Creators: BIS statistics
Publication Date: 2025-03-11
Creators: BIS statistics

The exchange-traded derivatives (XTD) statistics cover the turnover and open interest of foreign exchange and interest rate futures and options. The statistics are compiled from commercial data sources and cover contracts traded on over 50 organised exchanges.

Global liquidity indicators

Creators: BIS statistics
Publication Date: 2025-03-11
Creators: BIS statistics

The BIS uses the term “global liquidity” to refer to the ease of financing in global financial markets. The BIS global liquidity indicators (GLIs) track credit to non-bank borrowers, covering both loans extended by banks and funding from global bond markets through the issuance of international debt securities (IDS). The main focus is on foreign currency credit denominated in three major reserve currencies (US dollars, euros and Japanese yen) to non-residents, ie borrowers outside the respective currency areas.

OTC derivatives statistics

Creators: BIS statistics
Publication Date: 2024-11-21
Creators: BIS statistics

The over-the-counter (OTC) derivatives statistics capture the outstanding positions of derivatives dealers, mainly banks. They cover the outstanding notional value, market value and credit exposure of OTC foreign exchange, interest rate, equity, commodity and credit derivatives, as well as Herfindahl concentration measures. Dealers report on a worldwide consolidated basis, including the positions of their foreign affiliates and excluding intragroup positions. The statistics are collected under the auspices of the Committee on the Global Financial System and reported to the BIS at a country, rather than individual dealer, level. The statistics comprise data reported every six months by dealers in 12 jurisdictions (Australia, Canada, France, Germany, Italy, Japan, the Netherlands, Spain, Sweden, Switzerland, the United Kingdom and the United States) plus data reported every three years by dealers in more than 30 additional jurisdictions. For periods between Triennial Surveys, the outstanding positions of dealers in these additional jurisdictions are estimated by the BIS.

Residential property prices

Creators: BIS statistics
Publication Date: 2025-03-27
Creators: BIS statistics

The residential property price statistics comprise two data sets: the detailed and the selected.

The detailed residential property prices (RPP) data set contains regional and property type breakdowns for around 60 economies. The selected residential property prices (SPP) data set is designed to enhance cross-country comparability, and hence shows for each jurisdiction a single indicator that is closest to nationwide coverage. In most cases, this selected series covers all types of new and existing dwelling.

Selected residential property prices

The selected residential property prices data set shows the most representative property price indicator for each country. For most economies, this series refers to the whole country and covers the entire market: all property types, both new and existing vintages. The selected residential property prices data set is derived from the detailed data set. The BIS publishes four measures for each indicator: price indices and year-on-year growth rates, in nominal and real (CPI-deflated) terms. An analysis based on these selected indicators is released quarterly. The data set covers around 60 countries. For 23 countries, data are backdated with historical series to around 1970. In several countries, the compilation of the residential property price indicator follows the recommendations of the Handbook on residential property prices, an internationally agreed framework for classifying property price issues.

Detailed residential property prices

The detailed residential property prices data set consists of more than 300 series from around 60 countries collected from national central banks. These data series differ significantly from country to country, varying in frequency, type of property and vintage, covered area, priced unit, compilation method or seasonal adjustment. The specificities of each country’s residential property markets and the absence of binding international standards for property price statistics could explain this variability. Beyond national-level indicators, for most countries the data set contains some subnational data. Subnational data in most cases show price developments in the capital or biggest city.

Triennial Survey

Creators: BIS statistics
Publication Date: 2022-12-05
Creators: BIS statistics

The Triennial Central Bank Survey of foreign exchange and over-the-counter (OTC) derivatives markets aims to obtain comprehensive and consistent information on the size and structure of global foreign exchange and OTC derivatives markets. The results are intended to increase the transparency of OTC markets and to help central banks, other authorities and market participants monitor developments in global financial markets. They also help to inform discussions on reforms to OTC markets. The Triennial Survey is coordinated by the BIS under the auspices of the Markets Committee and the Committee on the Global Financial System. It is supported through the Data Gaps Initiative endorsed by the G20.

Consumer prices

Creators: BIS statistics
Publication Date: 2025-03-27
Creators: BIS statistics

The consumer price index data set contains long series that track the overall change in the prices of goods and services purchased by households. Consumer price indices are a key macroeconomic indicator, for instance to measure inflation and assess purchasing power over time.

The data set includes monthly and annual time series for more than 60 countries. Some annual series go back to the mid-19th century, or earlier for a few countries. The average length of the monthly series is more than 60 years. The BIS has constructed long consumer price indices, by joining the series available for consecutive periods.

Consumer price indices are commonly used as a deflator for other economic series. The series have been used, in particular, for the calculation of the real effective exchange rate and real residential property price series published by the BIS.

Commercial Property Prices

Creators: BIS statistics
Publication Date: 2025-03-27
Creators: BIS statistics

The commercial property prices data set contains nominal commercial property prices for more than 20 countries at various frequencies and is updated monthly. The data differ significantly from country to country in terms of property type, covered area, compilation method and other factors.

Commercial properties include properties rented out at market prices, built for future sale, or used for the production of market goods and services. The data set includes time series on price developments of commercial land, offices, retail premises and industrial properties.

Commercial property price indicators (CPPIs) have long been seen as a useful tool for monitoring financial stability and macroeconomic developments. Yet their availability and international comparability were limited before the Great Financial Crisis. The Data Gaps Initiative (DGI) endorsed by the G20 asked the members of the Inter-Agency Group on Economic and Financial Statistics to improve the dissemination of CCPIs and to start methodological work for their compilation. The second phase of the DGI (2015–21), built on this preparatory work and recommended that international organisations enhance methodological guidance on the compilation of CPPIs, and encouraged dissemination of data on commercial property prices via the BIS website.

Central bank total assets

Creators: BIS statistics
Publication Date: 2025-02-27
Creators: BIS statistics

The BIS central bank total assets data set tracks the evolution of the size of central banks’ balance sheets across the world. It covers more than 50 advanced and emerging market economies.

This data set contains long annual, quarterly and monthly series. The annual series feature an average length of around a century and, for most of the countries, show data since the establishment of the central bank. The median start year is 1942, and several series go back to the 19th century or earlier. Data with higher frequency often start later than annual series due to the limited availability of historical data.

Data on central banks’ balance sheets originate from multiple sources. Financial statements or accounting balance sheets are typically the main source and are compiled in accordance with national accounting standards. Other sources include the monetary presentation or statistical balance sheets.

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