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The dataset contains the balance of payments (b.o.p.) and the international investment position (i.i.p.) of the euro area compiled by the ECB, as well as European union aggregates compiled by Eurostat and individual EU country data. The b.o.p. is a statistical statement that summarises, for a specific period of time, the economic transactions of an economy with the rest of the world. The different accounts within the b.o.p. are distinguished according to the nature of the economic resources (e.g. goods, services, income or financial resources) provided and received. The i.i.p. is a statistical statement that shows, at a specific point in time, the value and composition of financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets and liabilities of residents of an economy to non-residents; The current account and capital account main components are broken down by counterpart countries. Financial transactions and positions are presented by type of investment, resident and counterpart sector, type of instrument and country of residency of the counterpart
The dataset contains the balance of payments (b.o.p.) and the international investment position (i.i.p.) of the euro area compiled by the ECB, as well as European union aggregates compiled by Eurostat and individual EU country data. The b.o.p. is a statistical statement that summarises, for a specific period of time, the economic transactions of an economy with the rest of the world. The different accounts within the b.o.p. are distinguished according to the nature of the economic resources (e.g. goods, services, income or financial resources) provided and received. The i.i.p. is a statistical statement that shows, at a specific point in time, the value and composition of financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets and liabilities of residents of an economy to non-residents; The current account and capital account main components are broken down by counterpart countries. Financial transactions and positions are presented by type of investment, resident and counterpart sector, type of instrument and country of residency of the counterpart
The methodology used to compute the trade weights on which the ECB nominal and real effective exchange rates (EERs) are based is described in detail in the paper: The ECB’s enhanced effective exchange rates and harmonised competitiveness indicators. For further information, refer to the methodological details available on the ECB website: Euro foreign exchange reference rates Nominal effective exchange rate Harmonised competitiveness indicators
The ECB Survey of Professional Forecasters (SPF) is a quarterly survey of expectations for the rates of inflation, real GDP growth and unemployment in the euro area for several horizons, together with a quantitative assessment of the uncertainty surrounding them. The participants are experts affiliated with financial or non-financial institutions based within the European Union. As of 2015 the results are reported in a standalone web publication on a quarterly basis (i.e. in February, May, August and November) on the dedicated  SPF webpage .
These data contain information on the aggregate consolidated  profitabilitybalance sheetsasset qualityliquidityfundingcapital adequacysolvency of EU banksand refer to all EU Member States. The banks are divided into three size groups: small, medium-sized and large. Information on foreign-controlled institutions active in EU countries is also provided.  
The dataset contains the official reserve assets of the euro area, as well as individual EU country data. National reserve assets statistics are collected in the context of Guideline ECB/2011/23 of 9 December 2011 (as amended) and both, national data and euro area aggregates, follow the principles and classifications of the 6th edition of the IMF Balance of Payments and International Investment Position Manual (BPM6).
The dataset contains the official reserve assets of the euro area, as well as individual EU country data. National reserve assets statistics are collected in the context of Guideline ECB/2011/23 of 9 December 2011 (as amended) and both, national data and euro area aggregates, follow the principles and classifications of the 6th edition of the IMF Balance of Payments and International Investment Position Manual (BPM6).
The concepts and definitions used in balance of payments (b.o.p.) and international investment position (i.i.p.) statistics are generally in line with the IMF Balance of Payments Manual (fifth edition, October 1993), the ECB Guideline of 16 July 2004 on the statistical reporting requirements of the ECB (ECB/2004/15), and Eurostat documents. Additional references about the methodologies and sources used in the euro area b.o.p. and i.i.p. statistics can be found in the ECB publication entitled"  European Union balance of payments/international investment position statistical methods
Macroeconomic projections aim to predict and understand the future state of the economy on a broad scale. They include information related to economic growth, inflation, wages, unemployment, trade and a number of other macroeconomic variables. Eurosystem and ECB staff produce macroeconomic projections that cover the outlook for the euro area and the wider global economy. These contribute to the ECB Governing Council’s assessment of economic developments and risks to price stability. They are published four times a year (in March, June, September and December). The June and December projections are conducted by Eurosystem staff and include (with a two-week delay) a national breakdown for real GDP, inflation and unemployment. The March and September projections are conducted by ECB staff and are published only for the euro area. For more information, please refer to the projections article published on the ECB website.
These data contain information on the aggregate consolidated profitability, balance sheets, asset quality, liquidity, funding, capital adequacy and solvency of EU banks, and refer to all EU Member States. The banks are divided into three size groups: small, medium-sized and large. Information on foreign-controlled institutions active in EU countries is also provided. 
Government finance statistics (GFS) provide a comprehensive overview of fiscal developments in the euro area, the European Union, and individual EU Member States. Data for Japan, the United Kingdom and the United States are also available, although with less detail.
These statistics refer to the assets and liabilities of euro area pension funds (PFs) and the data currently cover end-of-quarter outstanding amounts, financial transactions and adjustments.
Revenue, expenditure and deficit/surplus are concepts used to analyse fiscal policy. They are defined such that the deficit/surplus, government net borrowing (-)/net lending (+) is equal to the difference between government revenue and expenditure. Total revenue and expenditure are broken down by current and capital revenue and expenditure which are further broken down into a number of other categories. The difference between current revenue and current expenditure is equal to gross savings. Government revenue, expenditure and deficit/surplus are recorded on an accrual basis (as are all transactions in the ESA). The fiscal burden covers the categories direct taxes (D.5) indirect taxes (D.2) social contributions (D.61) capital taxes (D.91) Primary deficit is defined as government deficit/surplus excluding interest payable. There are two definitions of government deficit/surplus: (i) the ESA deficit/surplus (B.9) in which settlements under swaps and forward rates agreements (FRAs) are not included, because they are treated as financial transactions (ii) EDP deficit surplus (EDP B.9) in which such settlements are treated as interest thus allowing to affect the deficit/surplus. This EDP B.9 for excessive deficit procedure purposes was defined in Council Regulation No 2558/2001. EU budget transactions are concepts used to monitor, for each Member, the payments made by the resident sectors of the economy to the EU budget and the EU expenditure in the Member. Thus, the net payers to and the net receivers from the EU budget can be identified, as well as the impact of the EU budget transactions on the general government deficit/surplus. Government debt equals the general government gross debt as defined in Council Regulation (EC) No 479/2009 as: (i) the consolidated liabilities of the general government sector (S.13) (ii) in the ESA categories: currency and deposits (F.2), securities other than shares, excluding financial derivatives (F.33), and loans (F.4) (iii) measured at ‘nominal value’- further defined in the Regulation as ‘face value’. This means, in particular, that government debt is not affected by changes in market interest rates, and excludes unpaid accrued interest.Change in debt amounts to the government debt at the end of the year minus the government debt at the end of the previous year. Although government deficit and debt are closely interrelated concepts, the change in debt level in any given year can be larger or smaller than the deficit. The difference between the change in government debt and the deficit is known as the ‘deficit-debt adjustment’ (DDA) or more generally as the ‘stock-flow adjustment’. The DDA measures the part of the change in government debt that is not accounted for by the deficit/surplus. The DDA can be divided into: (i) transactions in main financial assets (ii) valuation effects and other changes in the volume of debt (iii) other DDA The borrowing requirement covers all financial transactions in government debt instruments (F.2, F.33 and F.4). It is also called “transactions in government debt’ or ‘Maastricht debt transactions’. The borrowing requirement of the general government sector is shown as consolidated. It means that if central government issues bonds that are all bought by social security funds, there is no impact on the borrowing requirement. However, central government bonds bought by social security funds, meaning the consolidating elements, are included in non-consolidated transactions. Financial accounts cover transactions and positions in government financial assets and liabilities. Total financial assets and liabilities are broken down by financial instrument (ESA categories).
BSI statistics are based on either the aggregated or the consolidated balance sheet of the monetary financial institutions (MFI) sector. The aggregated balance sheet is the sum of the balance sheets of all MFIs resident in the euro area. The consolidated balance sheet is obtained by netting the aggregated balance sheet positions between MFIs in the euro area. The consolidated balance sheet provides the basis for the regular analysis of euro area monetary aggregates and counterparts.
Aggregated supervisory banking statistics contain information on the following aspects of banks designated as significant institutions (SI) as well as less significant institutions (LSI):balance sheet composition and profitabilitycapital adequacyleverageasset qualityfundingliquidity
The Euro Area Real-Time Database (RTDB) is an  experimental dataset  that consists of vintages, or snapshots, of time series of several variables, based on series reported in the ECB’s Economic Bulletin (EBu), and previously in the ECB's Monthly Bulletin (MoBu). It is updated semi-annually,  at the beginning of January and July. The database has been constructed in the context of the Real-Time DataBase (RTDB) project that is being coordinated by the   Euro Area Business Cycle Network (EABCN . An in-depth presentation of this euro area RTDB can be found in ECB Working Paper No 1145, entitled  “An area-wide real-time database for the euro area”  by D. Giannone, J. Henry, M. Lalik and M. Modugno (January 2010).
The Securities settlement statistics cover the activity of central securities depositories (CSDs). This dataset provides information on direct participants in CSDs and also on the number and value of securities held on accounts as well as on delivery instructions.
The CISS is computed for the Euro Area as a whole. It includes 15 raw, mainly market-based financial stress measures that are split equally into five categories, namely the financial intermediaries sector, money markets, equity markets, bond markets and foreign exchange markets. For further details, see Holló, D., Kremer, M. and Lo Duca, M., "CISS - A Composite Indicator of Systemic Stress in the Financial System" , Working Paper Series , No 1426, ECB, March 2012. The CISS is also available for the United States of America, following a computation analogous to the Euro Area definition described above. The US CISS is comprised of the appropriate sub-indices for the United States financial system.   The SovCISS measures stress in sovereign debt markets in the Euro Area as a whole and in several Euro Area and non-Euro Area EU countries. The methodology is described in Garcia-de-Andoain, C. and Kremer, M., "Beyond Spreads: Measuring Sovereign Market Stress in the Euro Area" ,  Working Paper Series , No 2185, ECB, October 2018.   The New CISS is computed for four countries for which the Euro Area, the US and the UK use 15 raw indicators and China 16. It maintains the CISS"es scheme of using inputs from different market segments but employs a revised and equal weighting scheme of the raw indicators. It is calculated on a daily basis.