Learning Objectives:

  • Explain the key changes introduced by Basel IV.

  • Understand how digital transformation affects risk management and capital calculations.

  • Describe the impact of Basel IV on risk information systems.

7.1 Basel IV: Key Changes

The Basel IV framework, implemented in Europe through CRR3/CRD6, aims to enhance the comparability and credibility of prudential ratios . Key changes include [citation:7,1]:

  • Revised Standardized Approaches: To improve risk sensitivity, a standardised approach to credit risk, operational risk, market risk, and credit valuation adjustments has been developed .

  • Constraints on Internal Models: The use of internal models is limited by the introduction of an output floor that ensures banks’ capital is not less than 72.5% of the amount required under the standardised approach [citation:1,7].

  • Standardized Measurement Approach (SMA) for Operational Risk: Replaces previous approaches with a formula based on the Business Indicator Component (BIC) and the Internal Loss Multiplier (ILM) .

7.2 Digital Transformation and Capital Risk

Digital transformation is emerging not only as a source of innovation but also as a source of new risks for the banking sector . New technologies are creating new classes of risks :

  • Model Risk: AI/ML models making wrong decisions .

  • Cybersecurity Risk: The risk of cyberattacks and data breaches .

  • Third-Party Risk: Risk from dependence on cloud providers and FinTech partners .

  • Concentration Risk: Risk from concentration in digital platforms and service providers .

Digital transformation can increase Risk-Weighted Assets (RWA) by an average of 18–25% .

7.3 Impact on Risk Information Systems

Basel IV projects go beyond regulatory compliance. They challenge the very foundations of risk calculation chains and reveal the historical limitations of banking architectures . Key impacts include:

  • Data Quality: Increased requirements for granularity and consistency highlight the limitations of existing data repositories .

  • Traceability: Banks must be capable of justifying each result at a high level of granularity across all portfolios .

  • Governance: Mechanisms for rejecting, overriding, or correcting data become strategic governance issues .

 

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