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The data comprise day-to-day money rates which are no longer updated. These interest rates no longer exist once a country joins the euro area.

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 Monthly Bulletin (MoBu). 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). It contains indicators published in the MoBu, however, it focuses mainly on raw series (mainly indexes, levels and absolute values) instead of derived values (annual percentage changes) which were actually reported. Users are expected to perform relevant calculations to derive transformed data by using a software of their choice. The dataset was constructed by retrieving data stored in so called “frozen” databases which were used to produce MoBu’s statistical tables since January 2001. However, for selected 38 variables the vintages were reconstructed back to 1999 but are made available in CSV format only (see Dissemination pane). The “freezing” procedure always takes place on a working day ahead of the Governing Council meeting at precise time 3.30 p.m. It should be noted that the technology behind storage databases has evolved over the time and that the quality of early vintages might be in some cases lower due to the lack of good electronic sources available at that time. The quality of these vintages should not be in any case related to the quality of the MoBu itself as the proof reading of the later always ensures the accuracy of numbers published. All indicators in the dataset follow a so called “policy concept”, i.e. they are reported according to the methodology adopted at the time of their publication. For example, the data on GDP at constant prices were replaced by chain indices in November 2005. The dataset reflects this fact as a revision to the GDP series. When using euro area data one should also be particularly aware of a specific definition of the euro area applied. A detailed explanation of various euro area compositions can be found in General Notes of the MoBu. Bearing in mind all these limitations, the dataset should be used for research purposes only and the time series included should not be treated as reference data. For most up to date indicators users should refer to other sections of the SDW.   RTD - Real Time Database (research database)

The Monetary and Financial Statistics (MFS) database contains the aggregated surveys covering: i) Central Bank ii) Depository Corporations and iii) Other Financial Corporations. The key macroeconomic aggregates in this dataset include: i) Monetary base and broad money; ii) Credit aggregates (including credit to the private sector); and iii) Foreign assets and liabilities.   Beginning in 2009, there are two presentations of Monetary Statistics in IFS. The new presentation data follows the Monetary and Financial Statistics Manual (MFSM) and the Monetary and Financial Statistics Compilation Guide (MFSCG), a companion to the MFSM that contains more detailed coverage of the classification, economic sectorization, valuation, and recording of financial assets and liabilities in an economy. The MFSCG gives prominence to the source data for monetary and financial statistics.   The majority of countries use the standardized report forms (SRFs) to report monetary data to the IMF and are presented under SRF Countries.   The old presentation is used for those countries that do not use the SRFs for reporting Monetary data and presented under Non-SRF Countries. The presentation of these countries will be changed to the new presentation when the countries implement the reporting of SRF-based data.   The Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process for monetary and financial statistics (MFS). Aimed at compilers and users of MFS, it offers a conceptual framework for the collection, compilation, and analytical presentation of monetary data, which provide a critical input for monetary policy formulation and monitoring.   Detailed monetary statistics based on the standardized report forms reflecting the conceptual framework of the above Manual and its predecessors.

Data cited at: https://cameroon.opendataforafrica.org/lkbvhyb MONNAIE ET CREDIT, 2014

The Financial Statistics dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and some selected other countries. The dataset itself contains financial statistics on 4 separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial statistics for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. All data are available monthly, and are presented as either an index (where the year 2015 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.