Art. 9 Relevant data infrastructure for stress testing programmes | RTS on stress test programmes | MiCA

This article sets out the data infrastructure requirements that must underpin the stress testing programme introduced in earlier articles.

Rather than addressing the content of the stress tests themselves, it focuses on the technical and organisational foundations that make those tests possible — ensuring that issuers have the capacity, quality controls, and resources in place to run their programmes consistently and effectively.

Important points:

Ensure your data infrastructure is adequate, transparent, flexible, and capable of meeting the full data demands of your stress testing programme.
The data infrastructure must be proportionate to your size, complexity, and risk and business profile, and must cover all material risks.
Devote sufficient human, financial and material resources to the development and maintenance of your data infrastructure, including information technology systems.

1. Issuers of asset-referenced tokens or e-money tokens shall ensure that the stress testing programme is supported by an adequate and transparent data infrastructure.
1. Issuers of asset-referenced tokens or e-money tokens shall ensure that their data infrastructure has the capacity to capture the extensive data needs of their stress testing programme and that they have in place mechanisms to ensure a continuous and consistent ability to conduct stress testing as planned in accordance with the programme.
1. Issuers of asset-referenced tokens or e-money tokens shall ensure that the data infrastructure allows for both flexibility and appropriate levels of quality and control.
1. Issuers of asset-referenced tokens or e-money tokens shall ensure that their data infrastructure is proportionate to their size, complexity, and risk and business profile, and allows for the performance of stress tests covering all material risks that the institution is exposed to.
1. Issuers of asset-referenced tokens or e-money tokens shall devote sufficient human, financial and material resources to guarantee the effective development and maintenance of their data infrastructure, including information technology systems.