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.
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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.
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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.
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."

Head of Risk Management
We offer you tailored solutions for your digital transformation
We use advanced AI algorithms to optimise standardised approach compliance processes and develop automated systems for precise Basel III sensitivity monitoring.
Our AI platforms develop highly precise sensitivity systems with automated market risk analysis and continuous compliance monitoring.
We implement intelligent standardised approach model validation systems with machine learning supervisory monitoring for maximum regulatory compliance.
We develop intelligent systems for continuous market risk monitoring with predictive standardised approach protection measures and automatic optimisation.
Our AI platforms automate standardised approach documentation with intelligent Basel III sensitivity transparency optimisation and predictive supervisory communication.
We support you in the intelligent transformation of your FRTB Standardised Approach compliance and the development of sustainable AI standardised approach compliance capacities.
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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 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.
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 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.
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.
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.
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 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.
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.
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 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.
Ongoing adherence to FRTB requirements demands systematic monitoring, regular adjustments, and proactive optimization. We support you in establishing sustainable FRTB compliance.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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