Search
The EBA consults on draft technical standards that specify material changes and extensions to the Internal Ratings Based approach
The European Banking Authority (EBA) today launched a public consultation on its draft Regulatory Technical Standards (RTS) clarifying and enhancing the conditions for assessing material model changes (MMC) and extensions following a review of the related Delegated Regulation. This review aimed to align the existing RTS with the amendments brought in by the Capital Requirements Regulation (CRR 3), and to introduce amendments to enhance the supervisory effectiveness of the approval process for model changes. The consultation runs until 10 March 2025.
Statement on the application of CRR 3 in the area of credit risk for the Internal Ratings Based Approach
EBA clarifies the operational application of CRR 3 in the area of credit risk modelling
The European Banking Authority (EBA) welcomes the entry into force of the new European Banking Package, which implements the final Basel III framework into EU regulation. To ensure a smooth operational implementation of the Banking Package, the EBA encourages institutions and competent authorities to engage in an active dialogue.
EBA updates timeline for the implementation of the IRB roadmap and publishes its final supervisory handbook for the validation of IRB rating systems
The European Banking Authority (EBA) today updated its roadmap for the implementation of internal ratings based (IRB) model requirements to limit compliance costs for institutions. The EBA also published its final supervisory handbook for the validation of internal ratings based (IRB) rating systems to clarify the role of the validation function as part of corporate governance.
Supervisory handbook on the validation of IRB rating systems.pdf
Supervisory handbook on the validation of IRB rating systems
Follow-up report on machine learning for IRB models.pdf
Follow-up report on the use of machine learning for internal ratings-based models
The EBA publishes follow-up Report on the use of machine learning for internal ratings-based models
The European Banking Authority (EBA) published today a follow-up Report presenting the feedback received during the consultation on machine learning (ML) used in the context of internal ratings-based (IRB) models. This follow-up Report summarises the main conclusions from the consultation and provides an overview of the current use cases of ML techniques for IRB models.
Consultation on supervisory handbook on the validation of rating systems under the Internal Ratings Based approach
EBA consults on supervisory handbook for the validation of internal ratings based systems
The European Banking Authority (EBA) launched today a consultation on its supervisory handbook for the validation of internal ratings based systems. This handbook clarifies the role of the validation function as part of corporate governance, in particular in terms of scope of work and interaction with the credit risk control unit. The consultation runs until 28 October 2022.
Consultation paper on the supervisory handbook on the validation of IRB rating systems.pdf
Consultation paper on the supervisory handbook on the validation of IRB rating systems
Supervisory handbook for the validation of internal ratings based systems
Principles on representativeness of COVID-19 impacted IRB relevant data.pdf
Principles that should be applied in ensuring representativeness of the IRB-relevant data impacted by the COVID-19 pandemic and related measures
EBA clarifies the use of COVID-19-impacted data for internal credit risk models
The European Banking Authority (EBA) today published four principles to support supervisory efforts in assessing the representativeness of COVID-19-impacted data for banks using internal ratings based (IRB) models. These principles will be part of a supervisory handbook, which the EBA will publish later in 2022 with the objective to ensure a harmonised approach in the use of COVID-19 data, especially where the use of moratoria and other public measures may have led to changes in default rates.
Discussion on machine learning for IRB models
Discussion paper on machine learning for IRB models.pdf
Discussion paper on machine learning for IRB models
EBA consults on machine learning for internal ratings-based models
The European Banking Authority (EBA) published today a discussion paper on machine learning used in the context of internal ratings-based (IRB) models to calculate regulatory capital for credit risk. The aim of the discussion paper is to set supervisory expectations on how new sophisticated machine learning models can coexist with and adhere to the Capital Requirements Regulation (CRR) when used in the context of IRB models. The discussion paper seeks stakeholders’ feedback on many practical aspects related to the use of machine learning in the context of IRB with the aim of providing clarity on supervisory expectations on their use. The consultation runs until 11 February 2022.
Discussion paper on machine learning for IRB models
EBA-Op-2020-12 Opinion on RTS on Downturn.pdf
Opinion on the European Commission’s amendments relating to the final draft RTS on the specification of the nature, severity and duration of an economic downturn
EBA Opinion on credit insurance EBAOp-2020-05.pdf
EBA Opinion on credit insurance