EDITOR

INTEGRATED UPLOAD FOR TOTAL COMPLIANCE

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EDITOR
INTEGRATED UPLOAD FOR TOTAL COMPLIANCE

EDITOR is an integrated web application developed by European DataWarehouse (ED) for the seamless analysis and upload of loan-level data (LLD). It allows issuers to pre-screen and analyse LLD files and upload them directly to European DataWarehouse.

HOW DOES IT WORK?

EDITOR is designed to meet the requirements of clients to run the existing ED validation rules in LLD files and upload them directly to European DataWarehouse.
As a pre-screening tool of the LLD files based on predefined logical checks developed and applied by ED data quality management, EDITOR contains a set of rules and clusters that allow a quick overview of the potential inconsistencies in the submitted LLD files. Results for each validation check are displayed in a “Pass/Fail” logic with only the number of loans which fail a particular data quality check being shown. This is reflected in the Data Quality Score 1 (DQS1) Additional data quality issues found by our deal analysts are reflected in the Data Quality Score 2 (DQS2). Results are indications of potential data quality issues that need to be further investigated.

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OUR SOLUTION

DATA VALIDATION

EDitor recognises loan-level Data files in CSV, Excel and XML formats. All fields in the loan-level data files are checked for the format (taxonomy) as outlined in the Loan Data templates.

DATA QUALITY

3000+ data quality rules are run on the uploaded data file. Rule results are displayed with visual illustrations.

COMPARISON

Customers can quickly compare stratifications on key data fields with the previous successful loan-level data submissions.

RESEARCH ARTICLES

Third Party Research |

08.05.2019

Bank of Spain Financial Stability Report

Third Party Research |

10.12.2018

Sjoerd Van Bekkum, Marc Gabarro, and Rustom M. Irani: Does a Larger Menu Increase Appetite? Collateral Eligibility and Credit Supply

Special Report |

13.11.2018

The European ABS Market and its Development

Explanatory Report |

15.10.2018

Explanatory Report on Calculated LTVs

It is used in financial regulation, rating agency methodologies, and bank credit policy. Rating agencies use it to determine mortgage Default Probability (DP) and Loss Given Default (LGD). The LTV is typically used at loan origination, and for ongoing credit risk monitoring, to assess the amount of equity a borrower has in their property.

read more

Special Report |

18.09.2018

Gap Analysis Between the ECB ABS Loan-Level Data Templates and the Draft Templates Proposed by ESMA on 22 August 2018

What our Customers say

“The European DataWarehouse will play an important role in the development of STS securitizations through its dedication to data quality and the principle of data transparency for the European ABS market.”

Santander Global Corporate Banking

“EDW is a very useful tool for gathering data upon European securitizations. Its constant aim at delivering excellence and standardization is a serious asset for every professional in structured finance looking for relevant statistics”

Crédit Foncier

“Publicis Sapient views the European DataWarehouse as an important part of the market infrastructure. We look forward to continuing to support ED.”

Publicis Sapient

“As the initiator of the “DEUTSCHER VERBRIEFUNGSSTANDARD”, TSI was an early advocate of high transparency and quality in the securitisation market. It was therefore only natural that TSI would also support the ECB’s transparency initiative early on. Thanks to the European DataWarehouse, ABS bonds are today by far the most transparent asset class in Europe and set the standard other asset classes still need to meet.”

True Sales International

“For the Dutch Securitisation Association (DSA), the European Datawarehouse has added their in-depth knowledge of data quality issues to our own efforts to increase transparency and standardisation of (Dutch) securitisation transactions. We look forward to benefit from the ongoing development of expertise in the EDW team”.

Dutch Securitisation Association
Company statistics
> bn

loan records

+

deals stored

mm

loans or loan parts

>

LLD submissions