Deutsche Bundesbank published Version 10.1 of the manual on validation rules for AnaCredit reporting. Changes have been made with respect to the completeness, consistency, and plausibility criteria. Also published was Version 1.0 of the document on value limits for recognizing outliers under the AnaCredit data collection. This information on value limits applies in addition to the Chapter 5.1 on limit values for detecting outliers in Version 10 of the manual for AnaCredit validation rules. Both the documents will be valid from August 01, 2020.
The manual for AnaCredit validation rules supplements the guidelines on AnaCredit data and reporting manuals. It describes all validations that must be carried out to ensure satisfactory data quality. In addition to the validations, plausibility checks are carried out to reveal outlier values. While the manual for AnaCredit validation rules explains the methodology of the rules and is subject to a publication cycle of up to six months, the value limits in the Excel document can change dynamically. When the value limits change, the reporting agents are informed via an AnaCredit newsletter, as is the case when the manual for the AnaCredit validation rules is published. There are five different data types, the value of which is checked against a threshold value within an outlier rule. These include Date, Rate, NUMBER, REFDATE_YEAR_OFFSET, and REFDATE_DAY_OFFSET. The data types Date, Rate, and NUMBER each use the reported attribute value and hold it against the defined threshold. The threshold values for the data types REFDATE_YEAR_OFFSET and REFDATE_DAY_OFFSET each represent the number of years or days that must elapse after a reporting deadline, before an alert is generated.
Related Links (in German)
- Validation Rules Manual, Version 10.1 (PDF)
- Value Limits for Outlier Rules, Version 1.0 (XLSX)
- AnaCredit Updates
Keywords: Europe, Germany, Banking, AnaCredit, Reporting, Value Limits for Recognizing Outliers, Validation Rules, Bundesbank
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