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Home Compliance

A Perfect Perfecta: Amid New FRTB Reporting Requirements, Don’t Bet on the Wrong Horse

New FRTB Reporting Requirements Are Fast Approaching, and Some Regions Have Yet to Announce Updates

by Richard Moss
May 14, 2021
in Compliance
Horses and riders in a horse race round a corner on the track

The Fundamental Review of the Trading Book (FRTB) affects capital calculations and substantially impacts one’s risk monitoring framework. Richard Moss encourages readers to avoid betting on the long shot.

Financial institutions may be facing higher capital requirements based on the Basel Committee on Banking Supervision (BCBS) changes to FRTB. The deadline for implementing the new market-risk FRTB reporting requirements is 2023. And certain jurisdictions must report even sooner – for example, under Capital Requirements Regulation 2 (CRR2). New FRTB reporting requirements affect how firms measure their market-risk capital charge and achieve consistency with other critical calculations, including the standardized approach for counterparty credit risk (SA-CCR) and credit valuation adjustment (CVA).

All these elements together will alter organizations’ capital requirements. To monitor their risk profiles, they will require flexibility, granular data drilled down to the trade level and an ability to create bespoke stress-test scenarios. Being ready for post time will require preparation across several areas of an institution.

FRB Reporting Requirements: The Favorite in Race Three Is… ‘Best Risk’

At the track, the crowd eagerly awaits the announcement of the favorite horse in any given race so they are prepared to place their bets.  In horse racing, a “perfecta” refers to a bet that successfully picks a race’s first and second place finisher in order. Basel IV and FRTB changes are creating a similar sense of eager anticipation for executive risk managers.

Coming ‘round the clubhouse turn are the following new FRTB reporting requirements:

  • Institutions must adopt regulators’ standardized approach.
  • Additionally, they have the option to design their own models for calculating market risk exposure.

Market risk rules will become more stringent because what is considered in scope for the trading book is being refined. Furthermore, for firms seeking to use their own models, there are stricter requirements regarding quality of data and calculations. This means the capital calculations themselves must be changed to incorporate more risk factors and various liquidity horizons. Assessing and determining their very own ‘best risk’ will enable them to put money on the favorite, and if they are extremely clever, determine the top two to cross the finish line and thus win the coveted perfecta.

Winning the Perfecta: Large Volumes and Preparing for the Future

When determining which horses will win at the racetrack, judging the horses’ capabilities, training and track records are critical.

The new FRTB reporting requirements mean that institutions must step up their processes for FRTB, SA-CCR and CVA calculations and ensure transparency and granularity in their data analysis. To accommodate new regulatory requirements and develop an effective means of assessing risk, institutions should consider:

  • Analyzing large trade volumes under the new FRTB reporting requirements will necessitate sophisticated tools that (ideally) operate in the cloud and SaaS-enabled solutions; and
  • Being ready for current and future calculations will necessitate a platform and solutions that seamlessly operate across jurisdictions and timelines.

In Europe, preparing for the future means being ready for calculations required according to an impending CRR3. Other jurisdictions have set deadlines for specific calculations, including Canada, where CVA and FRTB requirements will be in effect as of November 2022 and November 2023, respectively. Likewise, certain jurisdictions in Asia – namely Australia, Singapore, Hong Kong and Japan – have extended their FRTB deadlines to January 2023. The Middle East has similarly received a reprieve from the rollout of FRTB and Basel IV with no regulatory mandates published to date. However, the market eagerly awaits the announcement of regulatory requirement deadlines in jurisdictions across the region, including Saudi Arabia, Qatar, Bahrain and the United Arab Emirates.

As we know, correctly picking a perfecta in a horse race is a gamble. But for FRTB implementation, you can improve your odds immensely by effectively addressing these two important elements: large data volumes and new calculations.

Hedging Bets? There Is a Better Way to Manage Risk

Institutions are asking critical questions, including:

  • Are the new required data sets (including the relevant sensitivities) under the standardized approach (SA) integrated seamlessly into our calculation engine and reporting requirements?
  • Can we accommodate both internal model approach and SA calculations?
  • Are we making business decisions based on sound risk and governance principles, or are we reacting to the output floor?

The need to address these questions has not gone away. Rather, they now go hand in hand with the need for a flexible operational risk management ecosystem and bespoke scenario-building capabilities. But although hedging a bet might be a good strategy at the track, when it comes to capital risk assessment, a secure approach with a reliable partner is best.

Galloping the Distance: Good Partnerships Win Races, Even the Perfecta

Institutions need a solution that will gallop onto the backstretch with the requisite speed and power, as well as guide them through the challenges of a crowded race day field and to the finish line in style.

Thus, firms require a comprehensive suite of risk calculations and the ability to establish seamless processes so they are enabled to:

  • Calculate CVA and SA-CCR, including the new CVA calculations requirements;
  • Develop a risk management ecosystem by putting processes in place that go beyond regulatory reporting and enable business/risk insights from CVA, FRTB and SA-CCR calculations;
  • Integrate with ease, making the most of tightly integrated modules and using more than just out-of-the-box regulatory calculations;
  • Leverage speed for volume by incorporating big data technologies, such as Spark, that efficiently handle large datasets required under FRTB without sacrificing transparency at critical calculation points; and
  • Adapt bespoke risk factors by enabling runs, scenarios, charting and granular attribution at the trade level.

When organizations can access comprehensive calculations, leverage integrated stress-testing and have transparent capabilities at their fingertips, senior management gains bird’s-eye and granular views of their organizations’ capital/credit/liquidity risk positions under scenarios of their choosing. This puts them well on their way to putting processes in place to meet regulatory reporting requirements and building a stronger risk management ecosystem across their institutions.

And leading the pack wire to wire may be the ultimate winning strategy.


Contributing authors are Anh Chu, Head of Canada Product Management, and Gavin Pugh, Head of APAC Risk Sales, AxiomSL


Tags: Financial ReportingRisk Assessment
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Richard Moss

Richard Moss

Richard Moss is Global Head of Risk Solutions at AxiomSL, where he serves as global product leader for AxiomSL’s Risk Calculation and Risk Reporting product line. In this role, Richard has pioneered the creation of BCBS 239 compliant Data Dictionary led solutions for Counterparty Credit, Capital and Liquidity Reporting. The design work led by Richard and his team has helped financial institutions in Europe to consistently meet the changing landscape of EBA and NCB risk reporting requirements. In addition, this body of work has also been adapted for other jurisdictions that are closely aligned with Basel recommendations, Canada being one of them. Prior to joining AxiomSL, Richard was in the regulatory reporting function at Bank of America. His background includes assignments at Barclays Capital, where he was responsible for Equity Derivatives product control and an audit function at Ernst & Young. Richard has a B.A. with Honours in Economics from Durham University and is a Chartered Accountant.

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