For Providing Data
EDitor is an integrated web application developed by European DataWarehouse 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.
API & SFTP
European DataWarehouse (ED) has options for seamless data integration, including an Application Programming Interface (API) and a Secure FTP (SFTP) option.
Our API and SFTP services allow originators, data sponsors and SSPEs to seamlessly integrate their processes into the ED database.
European DataWarehouse’s (ED) Data Toolkit is a free desktop software application that supports the preparation and submission of ABS loan-level data in compliance with the ECB eligibility criteria requirements.
Latest Research Articles
Explanatory Report |
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
Index Report |
ED Spanish RMBS Index (pdf)
It uses the same methodology as our Spanish SME Index which was first published in 2016 and has been updated quarterly since.1 It will therefore differ from existing indices, in that it will group the data based on loan-specific rather than deal-specific characteristics (by loan vintage, loan-to-value, region etc.). It will also contain standardised stratification tables and performance measures for our active deals, making benchmarking easier.read more
Index Report |
ED Spanish SME Index (excel)
The Index differs from other existing structured finance indices in that it shows performance in an entirely new light, by taking full advantage of loan level data, compared to indices based on investor reports. The Index was designed to be as transparent as possible and performance is shown by deal, by industry, by region and by loan vintage.read more