Risk Management School

How your organization can calculate Capital Requirements

by Risk Management School on 3 de December de 2025

 

In this class, Olga Torres, CTO at Pirani, will show you how to automate and strengthen this process.  Will guide you through the essentials of calculating capital requirements and how automation through risk management software can make this process faster, more accurate, and far easier to manage.Get start now

What is Operational Risk Capital?

Operational Risk Capital:

Is the amount of financial resources a bank or financial institution must hold to absorb losses that come from failures in people, processes, systems, or external events.

Why Capital Requirements Matter for Companies

Key reasons:
1. Avoids insolvency during high-impact events.
2. Improves risk culture and operational discipline.
3. Supports long-term strategic decisions.
4. Strengthens regulatory compliance.
5. Enhances market credibility. 

What Is the Basel Framework?

Key pillars:
● Pillar 1 – Minimum Capital Requirements
● Pillar 2 – Supervisory Review Process
● Pillar 3 – Market Discipline / Transparency

Basel Approaches for ORC

Approach

Full Name

How It Works (Simple Explanation)

BIA

Basic Indicator Approach

Uses gross income as a proxy for operational risk. 

Capital = 15% × 3-year average gross income.

TSA

Standardised Approach

Applies different percentage factors to income across business lines.

AMA

Advanced Measurement Approach

Uses internal models based on historical losses, scenarios, and internal controls.

SMA

Standardised Measurement Approach

Combines the Business Indicator Component (BIC) with the Internal Loss Multiplier (ILM)

Capital = BIC × ILM.

 

Approach

Data Required

Pros

Cons

BIA

Only financial statements (gross income).

Simple, fast, very low effort.

Not risk-sensitive; income does not reflect operational risk.

TSA

Financial statements + business line allocation.

More risk-sensitive than BIA; structured.

Still income-based; weak link to real losses.

AMA

Large internal loss database, scenario analysis, internal models.

Highly risk-sensitive and tailored.

Very complex and costly

SMA

Financial statements + 10 years of operational loss data.

Balanced, transparent, globally adopted; rewards strong data quality.

Requires disciplined loss reporting and clean data.

 

SMA: The New Global Standard

Data Quality Requirements:

  • Complete data
  • Accurate data
  • Consistent data
  • Unique records

Process Requirements:

  • Formal written procedures
  • Organization-wide participation
  • Approval workflow
  • Segregation of duties

Technology Requirements:

  • System with full traceability
  • Security controls
  • Technical audit trail

Nueva llamada a la acción

 

 

Topics: Risk management

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