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Concept

The decision between the Standardised Approach (SA) and the Internal Model Approach (IMA) under the Fundamental Review of the Trading Book (FRTB) is a defining one for any financial institution with a trading book. It is a choice that will have a profound impact on capital requirements, operational complexity, and ultimately, the profitability of trading operations. The FRTB framework, introduced by the Basel Committee on Banking Supervision (BCBS), represents a significant overhaul of market risk capital rules, designed to address the shortcomings of the previous Basel 2.5 framework that were exposed during the 2007-08 financial crisis.

At its heart, the FRTB provides two distinct methodologies for calculating market risk capital. The Standardised Approach is a regulator-prescribed methodology that uses a set of standardized risk weights and sensitivities to calculate capital charges. It is a one-size-fits-all approach that is relatively simple to implement and is the default option for all banks.

The Internal Model Approach, on the other hand, allows banks to use their own internal models to calculate market risk capital, subject to strict regulatory approval and ongoing validation. This approach is more complex and resource-intensive, but it has the potential to be more risk-sensitive and to result in lower capital charges for banks with sophisticated risk management capabilities.

The choice between the Standardised Approach and the Internal Model Approach under FRTB is a critical strategic decision that will shape a bank’s capital adequacy and trading desk profitability.

The allure of the IMA lies in its potential for greater capital efficiency. By using their own models, banks can better reflect the specific risk characteristics of their trading portfolios, leading to a more accurate and potentially lower calculation of risk-weighted assets (RWAs). This can be particularly advantageous for banks with complex and well-diversified trading books, as the IMA can capture the benefits of diversification that are not fully recognized under the SA. The IMA also offers a more granular view of risk, allowing for more precise capital attribution and a deeper understanding of the drivers of market risk within the trading book.

The path to IMA approval is an arduous one. Banks must demonstrate to regulators that their internal models are conceptually sound, implemented with integrity, and subject to a rigorous validation process. This includes passing a series of stringent tests, such as the P&L attribution test and back-testing, which are designed to ensure that the models are accurately capturing the risks they are intended to measure. The operational overhead associated with maintaining an approved IMA is also substantial, requiring significant investment in data infrastructure, modeling expertise, and ongoing monitoring and reporting.

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What Are the Fundamental Differences in Risk Measurement?

The core distinction between the SA and the IMA lies in their approach to risk measurement. The SA is a sensitivity-based approach that uses a set of prescribed risk factors and corresponding risk weights to calculate capital charges. It is a relatively straightforward methodology that is designed to be easily implemented and consistently applied across all banks.

The IMA, in contrast, is a model-based approach that allows banks to use their own internal models to estimate the potential for future losses in their trading portfolios. This provides for a more tailored and risk-sensitive measure of market risk, but it also introduces a greater degree of complexity and model risk.

The SA calculates capital charges based on three main components ▴ the sensitivities-based method (SBM), the default risk charge (DRC), and the residual risk add-on (RRAO). The SBM is the main component of the SA and captures the risks associated with changes in the prices of financial instruments. The DRC is designed to capture the risk of losses due to the default of an issuer of debt or equity securities. The RRAO is a catch-all component that is intended to capture any risks that are not adequately covered by the SBM or the DRC.

The IMA, on the other hand, is based on the concept of Expected Shortfall (ES), which is a more sophisticated measure of risk than the Value-at-Risk (VaR) measure that was used under the previous Basel 2.5 framework. ES measures the expected loss in the tail of the distribution of potential outcomes, providing a more complete picture of the potential for extreme losses. The IMA also includes a default risk charge and a stressed capital add-on, which are designed to capture the risks associated with default and with periods of significant financial stress.

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The Regulatory Approval Process

The regulatory approval process for the IMA is a rigorous and demanding one. Banks must submit a detailed application to their national supervisor, which includes a comprehensive description of their internal models, as well as the results of a series of validation tests. The supervisor will then conduct a thorough review of the application, which may include on-site inspections and interviews with key personnel. The approval process can take several years to complete, and there is no guarantee that a bank’s application will be successful.

One of the key requirements for IMA approval is the P&L attribution test. This test is designed to ensure that the risk factors used in a bank’s internal models are the same as the risk factors that are used to generate the daily profit and loss of the trading desk. If there is a significant discrepancy between the two, it may indicate that the models are not accurately capturing the risks of the trading book. The P&L attribution test is a major hurdle for many banks, and it has been a key factor in the decision of some banks to abandon their IMA plans.

In addition to the P&L attribution test, banks must also pass a series of back-testing requirements. Back-testing involves comparing the daily VaR estimates from a bank’s internal models with the actual daily P&L of the trading desk. If the number of exceptions (i.e. days when the actual loss exceeds the VaR estimate) is too high, it may indicate that the models are underestimating the level of risk. The back-testing requirements under the FRTB are more stringent than those under the previous Basel 2.5 framework, and they have also been a major challenge for many banks.


Strategy

The strategic decision of whether to pursue the IMA or to default to the SA is one of the most significant challenges facing banks under the FRTB. The choice is not a simple one, and it requires a careful consideration of a wide range of factors, including the size and complexity of the trading book, the bank’s risk management capabilities, and its overall strategic objectives. The decision will have a lasting impact on the bank’s capital position, its competitive standing, and its ability to generate returns from its trading activities.

For many large, internationally active banks, the IMA has long been seen as the preferred option. The potential for lower capital charges and a more risk-sensitive approach to capital management has been a powerful incentive for these banks to invest in the development and maintenance of sophisticated internal models. The IMA has also been seen as a mark of distinction, a sign that a bank has the advanced risk management capabilities to be a leader in the global financial markets. However, the increased complexity and regulatory scrutiny associated with the FRTB have led many of these banks to reconsider their commitment to the IMA.

The strategic calculus for choosing between the IMA and SA involves a complex interplay of capital efficiency, operational capacity, and long-term business objectives.

The costs of implementing and maintaining an IMA under the FRTB are substantial. Banks must invest heavily in data infrastructure, modeling expertise, and ongoing validation and reporting. The P&L attribution test and the back-testing requirements are particularly challenging, and they have been a major source of concern for many banks. The risk of a model being de-scoped by regulators is also a significant consideration, as this would force a bank to revert to the SA, potentially at a time of market stress when the capital impact would be most severe.

As a result of these challenges, a growing number of banks are opting for a more pragmatic approach. Some are choosing to implement the SA across all of their trading desks, while others are adopting a hybrid approach, using the IMA for some desks and the SA for others. This allows them to balance the benefits of the IMA with the costs and complexities of implementation. The decision of which desks to include in the IMA scope is a critical one, and it requires a careful analysis of the capital benefits, the operational challenges, and the strategic importance of each desk.

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How Do Institutions Weigh the Costs and Benefits?

The cost-benefit analysis of the IMA versus the SA is a complex and multifaceted one. On the one hand, the IMA offers the potential for significant capital savings, particularly for banks with large and complex trading books. On the other hand, the costs of implementing and maintaining an IMA are substantial, and there is no guarantee that the capital savings will be sufficient to offset these costs. The decision of whether to pursue the IMA is therefore a strategic one that requires a careful consideration of a wide range of factors.

The following table provides a high-level overview of the key costs and benefits of the IMA versus the SA:

Factor Internal Model Approach (IMA) Standardised Approach (SA)
Capital Efficiency Potentially higher, due to greater risk sensitivity and recognition of diversification benefits. Generally lower, as it is a more conservative and less risk-sensitive approach.
Operational Complexity High, due to the need for sophisticated models, data infrastructure, and ongoing validation. Low, as it is a relatively simple and straightforward methodology to implement.
Implementation Costs High, due to the need for significant investment in technology, data, and personnel. Low, as it can be implemented using existing systems and processes.
Regulatory Scrutiny High, due to the need for ongoing validation and approval from regulators. Low, as it is a prescribed methodology that does not require regulatory approval.
Model Risk High, as there is a risk that the models may not accurately capture the risks of the trading book. Low, as there is no reliance on internal models.

The decision of whether to pursue the IMA will depend on a bank’s specific circumstances. For a large, sophisticated bank with a complex trading book and a strong risk management culture, the benefits of the IMA may well outweigh the costs. For a smaller, less complex bank, the SA is likely to be the more appropriate choice. Ultimately, the decision is a strategic one that must be made at the highest levels of the organization.

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The Hybrid Approach a Middle Ground

Faced with the stark choice between the all-or-nothing IMA and the one-size-fits-all SA, many banks are exploring a hybrid approach. This involves seeking IMA approval for some trading desks, while using the SA for others. This allows banks to reap the capital benefits of the IMA where they are most significant, while avoiding the costs and complexities of implementing the IMA across the entire organization. The hybrid approach is a pragmatic solution that is gaining traction with a growing number of banks.

The key to a successful hybrid strategy is to identify the trading desks that are the best candidates for the IMA. These are typically the desks that have the most complex and well-diversified portfolios, as these are the desks where the capital savings from the IMA are likely to be the greatest. The desks that are less complex and have more standardized products are better suited to the SA. The decision of which desks to include in the IMA scope is a critical one, and it requires a careful analysis of the capital benefits, the operational challenges, and the strategic importance of each desk.

  • Quantitative Analysis The first step in developing a hybrid strategy is to conduct a quantitative analysis of the capital impact of the IMA versus the SA for each trading desk. This will involve running the numbers for both approaches and comparing the results. The analysis should also take into account the costs of implementing and maintaining the IMA for each desk.
  • Qualitative Assessment In addition to the quantitative analysis, it is also important to conduct a qualitative assessment of each trading desk. This should include an evaluation of the desk’s risk management capabilities, its data infrastructure, and its overall strategic importance to the bank.
  • Strategic Prioritization Based on the results of the quantitative and qualitative analysis, the bank can then prioritize the trading desks that are the best candidates for the IMA. The bank may choose to start with a small number of desks and then gradually expand the scope of the IMA over time.


Execution

The execution of the chosen FRTB strategy, whether it be the full IMA, the SA, or a hybrid approach, is a complex and challenging undertaking. It requires a significant investment of time, resources, and expertise, and it must be carefully planned and managed to ensure a successful outcome. The execution phase is where the strategic decisions made in the boardroom are translated into the operational realities of the trading floor. It is a critical phase of the FRTB implementation process, and it is one that many banks are finding to be a major challenge.

For banks that have chosen to pursue the IMA, the execution phase is particularly demanding. It involves the development and implementation of a wide range of new models, systems, and processes, as well as the training of staff and the establishment of a robust governance framework. The P&L attribution test and the back-testing requirements are particularly challenging, and they require a significant amount of effort to implement and maintain. The execution phase for the IMA is a multi-year project that requires a dedicated team of experts and a strong commitment from senior management.

Translating the chosen FRTB strategy into operational reality requires a meticulous execution plan, robust infrastructure, and a deep pool of quantitative talent.

For banks that have opted for the SA, the execution phase is less complex, but it is still a significant undertaking. It involves the implementation of the new SA methodology, which is more complex than the previous standardised approach, and it requires a number of new data and reporting requirements. The SA also requires a significant amount of work to implement, and it is important not to underestimate the effort involved. The execution phase for the SA is a major project in its own right, and it requires careful planning and management to ensure a successful outcome.

The following table provides a high-level overview of the key execution challenges for the IMA and the SA:

Challenge Internal Model Approach (IMA) Standardised Approach (SA)
Model Development Requires the development and implementation of a wide range of new models, including the Expected Shortfall model and the Default Risk Charge model. Does not require the development of any new models, but it does require the implementation of the new SA methodology.
Data Infrastructure Requires a significant investment in data infrastructure to support the new modeling and reporting requirements. Requires some investment in data infrastructure to support the new data and reporting requirements.
P&L Attribution Requires the implementation of the new P&L attribution test, which is a major challenge for many banks. Does not require the implementation of the P&L attribution test.
Back-testing Requires the implementation of the new back-testing requirements, which are more stringent than the previous requirements. Does not require the implementation of back-testing.
Governance Requires the establishment of a robust governance framework to oversee the IMA. Requires a less extensive governance framework than the IMA.
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What Does a Successful IMA Implementation Entail?

A successful IMA implementation is a complex and challenging undertaking that requires a significant investment of time, resources, and expertise. It is a multi-year project that must be carefully planned and managed to ensure a successful outcome. The following are some of the key elements of a successful IMA implementation:

  1. Strong Project Management A successful IMA implementation requires strong project management. The project should be led by a dedicated team of experts with a deep understanding of the FRTB and the IMA. The project team should have a clear mandate from senior management and should be given the resources and authority to make decisions and drive the project forward.
  2. Robust Data Infrastructure A successful IMA implementation requires a robust data infrastructure. The bank must have the ability to collect, store, and process the large volumes of data that are required for the IMA. The data must be of high quality and must be available in a timely manner.
  3. Sophisticated Modeling Capabilities A successful IMA implementation requires sophisticated modeling capabilities. The bank must have the expertise to develop and validate the complex models that are required for the IMA. The models must be conceptually sound, implemented with integrity, and subject to a rigorous validation process.
  4. Effective Governance Framework A successful IMA implementation requires an effective governance framework. The bank must have a clear set of policies and procedures for the IMA, as well as a robust system of controls to ensure that the IMA is operating as intended. The governance framework should be overseen by a dedicated committee of senior managers.
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The Future of Market Risk Management

The FRTB represents a new era in market risk management. It is a more complex and demanding framework than the previous Basel 2.5 framework, and it will require banks to make significant investments in their risk management capabilities. The choice between the IMA and the SA is a critical one, and it will have a lasting impact on a bank’s capital position, its competitive standing, and its ability to generate returns from its trading activities.

The trend towards the SA is clear, with a growing number of banks opting for the simpler and less resource-intensive approach. However, the IMA is still a viable option for banks with the scale, sophistication, and commitment to make it work. The hybrid approach is also gaining traction, as it allows banks to balance the benefits of the IMA with the costs and complexities of implementation.

Ultimately, the right choice will depend on a bank’s specific circumstances. What is clear is that the FRTB will be a major focus for banks for years to come, and it will have a profound impact on the way that they manage their market risk.

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References

  • “Global Banks’ Dilemma over FRTB IMA vs SA Implementation.” RiskInfo.ai, 21 May 2025.
  • “FRTB ▴ Internal Models or Standardised Approach?” Clarus Financial Technology, 21 June 2016.
  • “Just 10 Banks Eye Internal Models for FRTB Capital Rules, Study Shows.” Risk.net, 24 July 2025.
  • “The Future of Internal Market Risk Models according to FRTB.” Forrs.de, 18 April 2024.
  • “FRTB ▴ 6 reasons to consider adopting the Internal Model Approach.” S&P Global Market Intelligence, 21 June 2023.
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Reflection

The decision between the Standardised and Internal Model approaches under FRTB is more than a technical compliance exercise; it is a reflection of an institution’s risk appetite, its technological capabilities, and its strategic vision. As you consider the path forward for your own organization, it is worth reflecting on how this choice aligns with your broader operational framework. Does your current infrastructure support the level of data granularity and analytical rigor required for the IMA?

Or does the simplicity and certainty of the SA better align with your current strategic priorities? The answer to these questions will not only determine your approach to FRTB compliance but will also shape the future of your trading operations and your ability to compete in an increasingly complex and data-driven market.

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Glossary

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Internal Model Approach

Meaning ▴ The Internal Model Approach (IMA) defines a sophisticated regulatory framework that permits financial institutions to calculate their capital requirements for various risk categories, such as market risk, credit risk, or operational risk, utilizing their own proprietary quantitative models and methodologies.
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Standardised Approach

Meaning ▴ The Standardised Approach represents a prescribed, rule-based methodology for calculating regulatory capital requirements against various risk exposures, including those arising from institutional digital asset derivatives.
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Market Risk Capital

Meaning ▴ Market Risk Capital represents the specific quantum of capital an institution is mandated to hold against potential losses arising from adverse movements in market prices across its trading book, encompassing digital asset derivatives.
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Capital Charges

Portfolio compression and optimization are highly effective at mitigating SA-CCR charges by systematically restructuring portfolios to align with the regulation's risk-sensitive calculation.
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Management Capabilities

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Regulatory Approval

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Risk-Weighted Assets

Meaning ▴ Risk-Weighted Assets (RWA) represent a financial institution's total assets adjusted for credit, operational, and market risk, serving as a fundamental metric for determining minimum capital requirements under global regulatory frameworks like Basel III.
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Capital Efficiency

Meaning ▴ Capital Efficiency quantifies the effectiveness with which an entity utilizes its deployed financial resources to generate output or achieve specified objectives.
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Significant Investment

Netting enforceability is a critical risk in emerging markets where local insolvency laws conflict with the ISDA Master Agreement.
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Data Infrastructure

Meaning ▴ Data Infrastructure refers to the comprehensive technological ecosystem designed for the systematic collection, robust processing, secure storage, and efficient distribution of market, operational, and reference data.
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Internal Models

Meaning ▴ Internal Models constitute a sophisticated computational framework utilized by financial institutions to quantify and manage various risk exposures, including market, credit, and operational risk, often serving as the foundation for regulatory capital calculations and strategic business decisions.
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Market Risk

Meaning ▴ Market risk represents the potential for adverse financial impact on a portfolio or trading position resulting from fluctuations in underlying market factors.
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Default Risk Charge

Meaning ▴ Default Risk Charge defines a specific capital requirement designed to absorb potential losses arising from a counterparty's failure to meet its financial obligations within a derivatives transaction.
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Expected Shortfall

Meaning ▴ Expected Shortfall, often termed Conditional Value-at-Risk, quantifies the average loss an institutional portfolio could incur given that the loss exceeds a specified Value-at-Risk threshold over a defined period.
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Previous Basel

SA-CCR provides a risk-sensitive capital framework by recognizing netting and collateral, unlike the blunter Current Exposure Method.
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Trading Book

Meaning ▴ A Trading Book represents a structured aggregation of financial positions held by an institution, primarily for the purpose of profiting from short-term market movements or arbitrage opportunities.
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Trading Desk

Meaning ▴ A Trading Desk represents a specialized operational system within an institutional financial entity, designed for the systematic execution, risk management, and strategic positioning of proprietary capital or client orders across various asset classes, with a particular focus on the complex and nascent digital asset derivatives landscape.
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Back-Testing Requirements

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Frtb

Meaning ▴ FRTB, or the Fundamental Review of the Trading Book, constitutes a comprehensive set of regulatory standards established by the Basel Committee on Banking Supervision (BCBS) to revise the capital requirements for market risk.
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Risk Management

Meaning ▴ Risk Management is the systematic process of identifying, assessing, and mitigating potential financial exposures and operational vulnerabilities within an institutional trading framework.
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Ongoing Validation

A broker-dealer's continuous monitoring of control locations is the architectural safeguard ensuring client assets are operationally segregated.
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Hybrid Approach

A hybrid execution model is operationally feasible, leveraging relationship pricing for scale and anonymous bidding for impact control.
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Governance Framework

Meaning ▴ A Governance Framework defines the structured system of policies, procedures, and controls established to direct and oversee operations within a complex institutional environment, particularly concerning digital asset derivatives.
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Internal Model

Meaning ▴ An Internal Model is a proprietary computational construct within an institutional system designed to quantify specific market dynamics, risk exposures, or counterparty behaviors based on an organization's unique data, assumptions, and strategic objectives.