Finalyse developed a validation toolkit inspired by the need of credit institutions to automatically produce the ECB supplementary reporting regarding the validation of their IRB models. This toolkit helps banks to build their validation sample for each credit risk parameter (PD, LGD, LGD in-default, EL BE, CCF) and perform all necessary qualitative and statistical tests as defined in these ECB reporting requirements. The toolkit also generates automatic validation reports in the format, structure and labelling consistent with ECB templates. Furthermore, the toolkit is prepared in different programming languages (SAS, R or Python) and packaged in a way that can be easily incorporated into any IT infrastructure.
Produce your supplementary validation reports in line with ECB instructions for validation in a simple manner.
Create model validation samples that are aligned with ECB requirements and that include built-in dictionaries.
Easily expand and adjust the suite with additional test metrics in accordance with any institution’s preferences to further automatise the internal validation process for any programming language.
Benefit from 3 different programming languages offered in the suite (SAS, R and Python) which allows it to be adapted without any change to the IT infrastructure.
Automatically report the test results and qualitative portfolio information in the required format from the ECB reporting template for supplementary validation reports.
Calculate a wide-range of quantitative and qualitative test metrics for any IRB risk parameter in line with the ECB instructions and internal validation standards.
In line with ECB instructions, validation test metrics are defined for following categories in each risk parameter:
Finalyse validation toolkit can also be easily adjusted and expanded to include additional metrics to comply with institutions’ internal validation standards if required. The validation toolkit already contains some additional metrics that are commonly used in banking industry covering additional test categories such as homogeneity, heterogeneity or sensitivity. These test metrics can be used for internal validation reports, although they are not mentioned in ECB reporting instructions. In general, internal validation reports for all IRB risk parameters can also be automatized in a similar way by aligning the Finalyse validation toolkit with internal validation standards.
The three languages were compared using a simple setup, as close as possible to a real-life situation. The exercise consisted in calibrating a logistic regression to identify loans likely not to be repaid on time in a sample dataset. The choice of logistic regression was driven by the fact that it is a simple but powerful approach still widely used in the industry.Read