1. Home/
  2. Services/
  3. Regulatory Compliance Management/
  4. Frtb/
  5. Frtb Standardised Approach

Subscribe to Newsletter

Stay up to date with the latest trends and developments

By subscribing, you agree to our privacy policy.

A
ADVISORI FTC GmbH

Transformation. Innovation. Security.

Office Address

Kaiserstraße 44

60329 Frankfurt am Main

Germany

View on map

Contact

info@advisori.de+49 69 913 113-01

Mon-Fri: 9:00 AM - 6:00 PM

Company

Services

Social Media

Follow us and stay up to date.

  • /
  • /

© 2024 ADVISORI FTC GmbH. All rights reserved.

Your browser does not support the video tag.
Intelligent FRTB Standardised Approach for optimal Basel III standardised approach compliance

FRTB Standardised Approach (SA): Sensitivity-Based Method, DRC & RRAO

The FRTB Standardised Approach requires precise implementation of Basel III sensitivity-based methods with specific market risk capital requirements and supervisory validation. As a leading AI consultancy, we develop tailored RegTech solutions for intelligent standardised approach compliance, automated sensitivity calculation and strategic market risk optimisation with full IP protection.

  • ✓AI-optimised standardised approach compliance with predictive supervisory validation
  • ✓Automated sensitivity-based calculation for maximum Basel III conformity
  • ✓Intelligent market risk capital requirements and delta-vega-curvature optimisation
  • ✓Machine learning standardised approach validation and compliance monitoring

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

  • Your strategic goals and objectives
  • Desired business outcomes and ROI
  • Steps already taken

Or contact us directly:

info@advisori.de+49 69 913 113-01

Certifications, Partners and more...

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

FRTB Standardised Approach — Intelligent Basel III Standardised Approach Compliance and Market Risk Excellence

Our FRTB Standardised Approach Expertise

  • In-depth expertise in FRTB Standardised Approach and Basel III sensitivity compliance optimisation
  • Proven AI methodologies for market risk capital calculation and supervisory excellence
  • Comprehensive approach from standardised approach compliance to operational delta-vega-curvature calculation
  • Secure and compliant AI implementation with full IP protection
⚠

Standardised Approach Excellence in Focus

Optimal FRTB Standardised Approach requires more than regulatory fulfilment. Our AI solutions create strategic Basel III standardised approach compliance advantages and operational superiority in sensitivity-based implementation.

ADVISORI in Numbers

11+

Years of Experience

120+

Employees

520+

Projects

We work with you to develop a tailored, AI-optimised standardised approach compliance strategy that intelligently meets all Basel III sensitivity requirements and creates strategic market risk advantages.

Our Approach:

AI-based analysis of your current standardised approach structure and identification of Basel III sensitivity optimisation potential

Development of an intelligent, data-driven standardised approach compliance strategy

Design and integration of AI-supported market risk monitoring and delta-vega-curvature optimisation systems

Implementation of secure and compliant AI technology solutions with full IP protection

Continuous AI-based standardised approach optimisation and adaptive Basel III sensitivity compliance

"Intelligent optimisation of the FRTB Standardised Approach is the key to sustainable Basel III sensitivity compliance and regulatory excellence in modern banking. Our AI-supported standardised approach solutions enable institutions not only to meet supervisory requirements, but also to develop strategic compliance advantages through optimised delta-vega-curvature calculation and predictive market risk assessment. By combining in-depth standardised approach expertise with modern AI technologies, we create lasting competitive advantages while protecting sensitive corporate data."
Melanie Düring

Melanie Düring

Head of Risk Management

Our Services

We offer you tailored solutions for your digital transformation

AI-Based Standardised Approach Compliance and Basel III Sensitivity Optimisation

We use advanced AI algorithms to optimise standardised approach compliance processes and develop automated systems for precise Basel III sensitivity monitoring.

  • Machine learning standardised approach compliance analysis and optimisation
  • AI-supported identification of Basel III sensitivity risks and compliance gaps
  • Automated standardised approach reporting for all market risk capital requirements
  • Intelligent simulation of various standardised approach scenarios and compliance strategies

Intelligent Delta-Vega-Curvature Calculation and Market Risk Capital Calculation

Our AI platforms develop highly precise sensitivity systems with automated market risk analysis and continuous compliance monitoring.

  • Machine learning-optimised delta-vega-curvature calculation and analysis
  • AI-supported market risk capital calculation and quality assessment
  • Intelligent standardised approach Basel III harmonisation and consistency checks
  • Adaptive sensitivity monitoring with continuous market risk assessment

AI-Supported Standardised Approach Model Validation for Supervisory Compliance

We implement intelligent standardised approach model validation systems with machine learning supervisory monitoring for maximum regulatory compliance.

  • Automated standardised approach model validation monitoring and management
  • Machine learning supervisory validation quality optimisation
  • AI-optimised Basel III sensitivity communication for best possible supervisory relationships
  • Intelligent model validation forecasting with standardised approach compliance integration

Machine learning Market Risk Monitoring and Standardised Approach Protection

We develop intelligent systems for continuous market risk monitoring with predictive standardised approach protection measures and automatic optimisation.

  • AI-supported real-time market risk monitoring and analysis
  • Machine learning standardised approach protection level determination
  • Intelligent Basel III sensitivity trend analysis and compliance forecasting models
  • AI-optimised supervisory recommendations and standardised approach compliance monitoring

Fully Automated Standardised Approach Documentation and Basel III Sensitivity Transparency Management

Our AI platforms automate standardised approach documentation with intelligent Basel III sensitivity transparency optimisation and predictive supervisory communication.

  • Fully automated standardised approach documentation in accordance with Basel III regulatory standards
  • Machine learning-supported supervisory transparency optimisation
  • Intelligent integration into standardised approach compliance and Basel III sensitivity support
  • AI-optimised supervisory communication forecasts and market risk management

AI-Supported Standardised Approach Compliance Management and Continuous Basel III Sensitivity Optimisation

We support you in the intelligent transformation of your FRTB Standardised Approach compliance and the development of sustainable AI standardised approach compliance capacities.

  • AI-optimised standardised approach compliance monitoring for all Basel III sensitivity requirements
  • Development of internal standardised approach expertise and AI Basel III sensitivity centres of excellence
  • Tailored training programmes for AI-supported market risk management
  • Continuous AI-based standardised approach optimisation and adaptive Basel III sensitivity compliance

Our Competencies in Fundamental Review of the Trading Book (FRTB)

Choose the area that fits your requirements

Expected Shortfall Under FRTB – Calculation, Validation and Implementation

Expected Shortfall (ES) is the central risk measure for market risk capital requirements under the Fundamental Review of the Trading Book (FRTB). It replaces Value at Risk and measures the average loss in the tail of the loss distribution — at the 97.5% confidence level over a 250-day stress period. ADVISORI guides banks through implementation: from ES calculation through classification of modellable risk factors to regulatory validation.

FRTB Backtesting Requirements — Model Validation Standards for Market Risk

FRTB Backtesting Requirements demand precise implementation of Basel III model validation with specific backtesting performance requirements and validation procedures. As a leading consulting firm, we develop tailored RegTech solutions for intelligent backtesting compliance, automated model performance monitoring, and strategic validation optimization with full IP protection.

FRTB Boundary Trading Banking Book

The correct delineation between the trading book and banking book is critical for FRTB compliance and capital optimization. Together with you, we develop solid boundary management frameworks for precise classification and efficient management.

FRTB Credit Valuation Adjustment

FRTB Credit Valuation Adjustment presents new challenges for capital calculation and risk management. Together with you, we develop comprehensive CVA frameworks for precise capital calculation, effective hedging, and sustainable compliance excellence.

FRTB Data Management

The Fundamental Review of the Trading Book demands comprehensive market data, demonstrable risk factor modellability and audit-proof data governance. We build the data infrastructure your trading book needs — from real price observation pipelines and NMRF minimisation to automated data quality assurance.

FRTB German Implementation

The Fundamental Review of the Trading Book presents German banks with specific challenges. We develop tailored implementation strategies that meet BaFin requirements while accounting for the particularities of the German banking market.

FRTB Implementation

Navigate the complex implementation of the Fundamental Review of the Trading Book with our comprehensive implementation support. We guide you through the entire process – from the initial assessment and gap analysis through concept development and system adaptation to full integration into your trading and risk management systems, including model adjustment, data infrastructure and process optimisation.

FRTB Implementation Strategy: Approach Selection, Capital Optimization & Phased Rollout

FRTB Implementation Strategy requires precise implementation of the Basel III Fundamental Review of the Trading Book with specific market risk capital requirements and supervisory validation. As a leading AI consultancy, we develop tailored RegTech solutions for intelligent FRTB compliance, automated trading book separation and strategic market risk optimization with full IP protection.

FRTB Internal Models Approach (IMA) — Requirements, Approval and Implementation

The FRTB Internal Models Approach (IMA) allows banks to use their own risk models for market risk capital calculations — provided they meet strict supervisory requirements for Expected Shortfall, backtesting and P&L attribution. As specialist FRTB consultants, ADVISORI supports institutions with IMA approval, model validation and ongoing compliance.

FRTB Market Risk Modeling – Sensitivity-Based Approach, Risk Classes & Risk Factor Modeling

The Fundamental Review of the Trading Book requires fundamentally new market risk modeling: The sensitivity-based approach (SbA) calculates delta, vega and curvature risks across seven risk classes – GIRR, CSR (non-sec, sec CTP, sec non-CTP), equity, FX and commodity. We support banks in the methodological design, risk factor modeling and operational implementation of these requirements.

FRTB Non-Modellable Risk Factors (NMRF) – RPO Test & SES Capital Add-On | ADVISORI

FRTB Non-Modellable Risk Factors require precise implementation of Basel III NMRF identification with specific capital calculation procedures and stress scenario calibration. As a leading AI consultancy, we develop tailored RegTech solutions for intelligent NMRF compliance, automated risk factor validation and strategic supervisory recognition optimization with full IP protection.

FRTB Ongoing Compliance

Ongoing adherence to FRTB requirements demands systematic monitoring, regular adjustments, and proactive optimization. We support you in establishing sustainable FRTB compliance.

FRTB P&L Attribution Test (PLAT) – Requirements, Methodology & Consulting | ADVISORI

FRTB Profit & Loss Attribution requires precise implementation of Basel III P&L allocation with specific risk factor decomposition requirements and model validation. As a leading AI consultancy, we develop tailored RegTech solutions for intelligent P&L attribution compliance, automated backtesting integration and strategic transparency optimisation with full IP protection.

FRTB Readiness Assessment

Our comprehensive FRTB readiness assessment identifies gaps in your current systems, processes, and data, quantifies the impact on your capital, and delivers a tailored implementation roadmap for efficient FRTB compliance.

Frequently Asked Questions about FRTB Standardised Approach (SA): Sensitivity-Based Method, DRC & RRAO

What is the FRTB Standardised Approach and how does it differ from the previous market risk standard method?

The FRTB Standardised Approach (SA) is the new framework for calculating own-funds requirements for market risk in the trading book. Developed by the Basel Committee on Banking Supervision (BCBS) under the Fundamental Review of the Trading Book, it replaces the previous net-position-based standard method.The key difference lies in the calculation methodology: instead of flat net positions, the FRTB SA uses a Sensitivities-Based Method (SbM). Banks compute the sensitivities of their trading book positions to defined risk factors — delta, vega and curvature — and aggregate them across seven risk classes.The three pillars of the capital requirement are:- Sensitivities-Based Method (SbM): calculation of delta, vega and curvature sensitivities- Default Risk Charge (DRC): capital charge for default risk of credit and equity positions- Residual Risk Add-On (RRAO): surcharge for exotic risks not captured by SbM and DRCIn the EU, the FRTB SA is implemented through CRR III (Regulation 2024/1623) and has been mandatory since January 2025.

How does the Sensitivities-Based Method (SbM) work in the FRTB Standardised Approach?

The Sensitivities-Based Method (SbM) forms the core of the FRTB Standardised Approach. It calculates the capital charge based on the sensitivities of each trading book position to prescribed risk factors.The three risk measures of the SbM:1. Delta sensitivities: Measure the linear price change of a position for a small move in a risk factor (e.g. interest rate, spread, equity price). They are calculated per risk factor and bucket, then multiplied by regulatory risk weights.2. Vega sensitivities: Capture the volatility risk of options and option-like instruments. Vega measures the value change when implied volatility shifts.3. Curvature sensitivities: Capture non-linear risks beyond delta — such as gamma risk for options. Calculated through full revaluation of the position under large upward and downward risk factor moves.The seven risk classes are: General Interest Rate Risk (GIRR), Credit Spread Risk (CSR) non-securitised, CSR securitised (non-CTP), CSR securitised (CTP), Equity, Commodity and Foreign Exchange (FX).Aggregation uses three correlation scenarios (low, medium, high), with the maximum result taken as the capital requirement.

What are delta, vega and curvature risks in FRTB?

Delta, vega and curvature are the three risk measures of the Sensitivities-Based Method in the FRTB Standardised Approach:Delta risk describes the linear sensitivity of a position to small movements in the risk factor. For a bond, the delta to the interest rate is the modified duration. For equities, it is typically the market value itself. Delta sensitivities are calculated per risk-factor bucket and scaled by regulatory risk weights.Vega risk measures sensitivity to changes in implied volatility. It primarily affects options and structured products with embedded optionality. The calculation uses the value change when implied volatility shifts by one relative unit.Curvature risk captures non-linear effects that delta does not cover — such as gamma risk for options. It is calculated through full revaluation of the position under large upward and downward risk factor shifts. The curvature risk amount equals the difference between the actual value change and the delta-approximated change.Each risk measure has specific risk weights, bucket assignments and correlation parameters prescribed by the Basel Committee and CRR III.

What is the Default Risk Charge (DRC) in the FRTB Standardised Approach?

The Default Risk Charge (DRC) is the second pillar of the capital requirement under the FRTB Standardised Approach. It covers the default risk of credit and equity positions in the trading book that is not fully captured by the Sensitivities-Based Method.The DRC calculation covers three categories:1. DRC for non-securitised positions: Based on Jump-to-Default (JTD) losses, weighted by regulatory risk weights per rating category. Netting within the same obligor is permitted under certain conditions.2. DRC for securitisations (non-CTP): Also uses JTD amounts with adjusted risk weights reflecting the tranche structure.3. DRC for the Correlation Trading Portfolio (CTP): Separate rules for index tranches and single-name CDS, accounting for correlation effects.DRC risk weights range from 0.5% (AAA) to 100% (defaulted). A hedging benefit is recognised when long and short positions exist against the same obligor.ADVISORI implements the DRC calculation including the correct JTD netting logic and supervisory risk weight tables.

When does the Residual Risk Add-On (RRAO) apply and which instruments are affected?

The Residual Risk Add-On (RRAO) is the third pillar of the FRTB Standardised Approach. It provides a flat capital surcharge for instruments whose risk profiles are not adequately captured by either SbM or DRC.The RRAO applies to two categories:1. Instruments with exotic underlyings: Including weather derivatives, longevity risk and instruments whose underlying cannot be assigned to any of the seven risk classes. Risk weight: 1.0% of gross notional.2. Instruments with other residual risks: Including instruments with gap risk (e.g. barrier options, digital options), correlation risk or behavioural uncertainty (e.g. prepayment risk in MBS). Risk weight: 0.1% of gross notional.Supervisors may exempt institutions from the RRAO on application, provided the residual risk is demonstrably covered by internal models. In practice, this exemption is rarely granted.ADVISORI assists with the identification of RRAO-liable instruments, notional amount calculation and supervisory documentation.

What are the seven risk classes defined by the FRTB Standardised Approach?

The FRTB Standardised Approach defines seven risk classes across which all sensitivities are calculated and aggregated:1. GIRR (General Interest Rate Risk): General interest rate risk. Buckets by currency, risk factors by tenor nodes (0.25Y to 30Y) and inflation/cross-currency basis.2. CSR non-sec (Credit Spread Risk, non-securitised): Credit spread risk for bonds, CDS and other non-securitised credit instruments. Buckets by sector (sovereigns, financials, corporates etc.).3. CSR sec non-CTP: Credit spread risk for securitisations outside the Correlation Trading Portfolio. Buckets by tranche type and underlying.4. CSR sec CTP: Credit spread risk for the Correlation Trading Portfolio (index tranches, bespoke CDOs). Separate bucket structure and correlation parameters.5. Equity: Equity risk. Buckets by market capitalisation and economic sector. Sensitivities to spot price and repo rate.6. Commodity: Commodity risk. Buckets by commodity group (energy, metals, agriculture etc.). Sensitivities to spot price and basis spreads.7. FX (Foreign Exchange): Foreign exchange risk. Sensitivities to FX spot rates against the reporting currency.Each risk class has its own risk weights, bucket definitions and correlation matrices. The final capital requirement results from aggregation across all classes.

How does ADVISORI support banks with FRTB Standardised Approach implementation?

ADVISORI guides banks and investment firms through the complete implementation of the FRTB Standardised Approach — from regulatory gap analysis to ongoing reporting.Our services include:- Gap analysis and readiness assessment: Evaluation of the current state against CRR III requirements, identification of action items in data, methodology and IT systems.- Methodological design: Development of the calculation methodology for SbM (delta, vega, curvature), DRC and RRAO. Definition of risk factor mapping, bucket classification and correlation scenarios.- Data integration and system implementation: Connection of required market data (yield curves, volatility surfaces, credit spreads), implementation in existing risk engines or new calculation modules.- Validation and testing: Independent validation of calculation results, backtesting of sensitivities, reconciliation with vendor solutions.- Regulatory reporting: Setup of COREP market risk reports, reconciliation with overall capital ratios and integration into supervisory reporting.- Training and knowledge transfer: Workshops for risk control, trading and reporting teams on FRTB SA requirements.As an advisory firm focused on regulatory implementation, we combine deep subject matter expertise with project experience at banks of all sizes.

Success Stories

Discover how we support companies in their digital transformation

Digitalization in Steel Trading

Klöckner & Co

Digital Transformation in Steel Trading

Case Study
Digitalisierung im Stahlhandel - Klöckner & Co

Results

Over 2 billion euros in annual revenue through digital channels
Goal to achieve 60% of revenue online by 2022
Improved customer satisfaction through automated processes

AI-Powered Manufacturing Optimization

Siemens

Smart Manufacturing Solutions for Maximum Value Creation

Case Study
Case study image for AI-Powered Manufacturing Optimization

Results

Significant increase in production performance
Reduction of downtime and production costs
Improved sustainability through more efficient resource utilization

AI Automation in Production

Festo

Intelligent Networking for Future-Proof Production Systems

Case Study
FESTO AI Case Study

Results

Improved production speed and flexibility
Reduced manufacturing costs through more efficient resource utilization
Increased customer satisfaction through personalized products

Generative AI in Manufacturing

Bosch

AI Process Optimization for Improved Production Efficiency

Case Study
BOSCH KI-Prozessoptimierung für bessere Produktionseffizienz

Results

Reduction of AI application implementation time to just a few weeks
Improvement in product quality through early defect detection
Increased manufacturing efficiency through reduced downtime

Let's

Work Together!

Is your organization ready for the next step into the digital future? Contact us for a personal consultation.

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

Ready for the next step?

Schedule a strategic consultation with our experts now

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
Stakeholders and decision-makers in the project

Prefer direct contact?

Direct hotline for decision-makers

Strategic inquiries via email

Detailed Project Inquiry

For complex inquiries or if you want to provide specific information in advance

ADVISORI Logo
BlogCase StudiesAbout Us
info@advisori.de+49 69 913 113-01