In particular, a full risk assessment requires a capacity to match loan data with borrower characteristics such as income level, employment status, household composition, non-mortgage debts and other financial assets and liabilities. In relation to gaining an overview of the aggregate debts of a household, it is important to highlight the value of a comprehensive consumer credit register.
Since loan balances and individual-level characteristics fluctuate over time, it is preferable to have updated data on each loan, rather than just at the date of origination. Such a granular and up-to-date data file requires a statistical capacity to match across different data sets, such that cooperation between financial statisticians and the guardians of administrative data (such as tax authorities) is highly desirable.