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ADMINISTRATIVE INFORMATION
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Title |
MMS - Money Market Survey |
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Data source |
European Central Bank (ECB) |
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Contact email address |
Statistical Information Request form |
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TECHNICAL INFORMATION
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Dataset last update in SDW |
2015-10-13 14:30:00 |
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Catalog |
Download the series catalogue of the dataset MMS in CSV format, i.e. full list of series and associated metadata: Excel 2013 (zipped) or the earlier Excel versions. |
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SCOPE
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Data presentation - Summary description |
A voluntary survey is conducted among European banks, including the major players on the money market. The survey has been conducted from 2001 until 2015. |
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Data presentation - Detailed description |
MMS statistics currently contain: • Inter-bank transactions executed in the euro money market, e.g. total quarterly turnover for a variety of maturity ranges and market segments (unsecured, repo, derivatives and short-term securities market); • Qualitative data concerning developments in the euro money market, e.g. regarding integration and efficiency. |
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Reference area coverage |
World - all banks trading on the euro money market. |
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Sector coverage |
MFI sector: only interbank transactions are considered. |
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Time coverage |
Interbank transactions in the euro money market: Total turnover during Q2 on the unsecured, repo, derivatives and short-term securities market. |
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METHODOLOGICAL INFORMATION
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Data collection method |
The primary data collected from reporting agents come from their business and accounting systems.Data collection is based on a sample. |
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Time period |
Q2 of every year |
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Statistical concepts and definitions |
For information about the naming convention (series key dimensions and metadata), refer to the MMS underlying DSD (ECB_MMS1) maintained by the ECB. |
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STATISTICAL PROCESSING
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Adjustment |
None. |
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Data validation |
Based on the verification of formal plausibility constraints, plus checks on the plausibility of developments at various levels of aggregation based on time-series techniques and judgement. |
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Data revision |
Revisions are taken on board to improve data quality, as and when they occur. |
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MISCELLANEOUS
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Metadata last update |
12/FEB/2019 09:25:43 |
