Basel PFE Overhaul: Risk Team Impact
- Following the Archegos collapse, banks are under pressure to revamp their counterparty credit risk (CCR) measurements, particularly potential future exposure (PFE) calculations.
- Dmitry Pugachevsky at Quantifi said the reforms highlight the need for banks to incorporate WWR and jumps-at-default into their PFE systems.
- For example, a five-year, at-the-money cross-currency swap with a $10 million notional shows how WWR and jumps combine.
Banks face a pivotal moment as Basel reforms trigger a potential future exposure (PFE) overhaul. Risk teams must refine their PFE calculations, integrating crucial elements like wrong-way risk (WWR) and jumps-at-default to bolster risk management. The shift reflects a move towards more complex models, with unified systems for PFE and valuation adjustment (XVA) gaining traction.News Directory 3 reports that regulatory pressures are driving banks to adopt comprehensive platforms, recognizing the synergies of integrated PFE and XVA calculations. Learn how the industry is adapting to these changes and the challenges lying ahead in implementing these advanced methods. Discover what’s next as these reforms reshape the landscape of credit risk.
Banks Reassess Credit Risk Calculations Amid Basel Reforms
Updated June 17, 2025
Following the Archegos collapse, banks are under pressure to revamp their counterparty credit risk (CCR) measurements, particularly potential future exposure (PFE) calculations. The Basel Committee on Banking Supervision initially proposed more refined techniques like wrong-way risk (WWR) and jumps-at-default, typically used in valuation adjustment (XVA). Although final guidelines softened some proposals, risk teams must move beyond outdated PFE approaches.
Dmitry Pugachevsky at Quantifi said the reforms highlight the need for banks to incorporate WWR and jumps-at-default into their PFE systems. These methods allow market factors, including interest rates and foreign exchange, to jump upon counterparty default, with jump sizes defined by the user.
For example, a five-year, at-the-money cross-currency swap with a $10 million notional shows how WWR and jumps combine. The regular credit valuation adjustment (CVA) for this trade is -1.5% of notional. introducing WWR increases the CVA by 6% to -1.6%. Applying a 5% FX devaluation-at-default further increases the CVA by 35%, bringing it to -2.15%.
Effect of WWR and jumps on Of
The Basel Committee’s advice to include WWR and jumps-at-default means PFE systems are starting to resemble XVA systems more closely. Quantifi has long advocated calculating PFE and XVA within a single, unified system using consistent assumptions. However, moast banks have maintained separate systems for PFE and XVA due to historical and organizational reasons.
Even among the largest institutions, not all XVA systems fully support WWR or jumps-at-default, let alone PFE systems. Regulatory pressure may compel banks to implement these capabilities in both frameworks or converge to a single platform supporting both PFE and XVA comprehensively.
In January 2025, the Basel Committee published final guidelines for CCR management.Compared with the original consultative document, the final version reflects notable pushback from the industry, particularly regarding including WWR and jumps-at-default in PFE calculations.
Incorporating WWR into a PFE framework presents particular challenges, especially as manny PFE systems do not even model basic counterparty credit characteristics. There was hope that the Basel Committee’s proposals might encourage the industry to adopt or expand the use of XVA systems, where counterparty dynamics are more fully captured and WWR modeling is standard.
A poll during a Quantifi & Risk.net webinar in December 2024 revealed that 76% of respondents see significant synergies in calculating PFE and XVA together,while only 3% disagreed or were unsure.
Many banks are increasingly willing to overlook the distinction between real-world and risk-neutral measures when calculating PFE, primarily due to the complexity of calibrating models under the real-world measure. Since the absolute value of exposure is less critical than its relative size, adding a consistent market price of risk to all exposures has minimal impact on these relative comparisons.
Quantifi offers a Monte Carlo engine that supports advanced features such as WWR and jumps-at-default, used for XVA and PFE calculations. Recently,there has been growing demand from banks to implement PFE within the same system as XVA,using a shared calibration for market factors. this simplifies implementation, improves consistency, and effectively eliminates concerns about measure differences in PFE.
What’s next
Integrating PFE into an XVA framework introduces additional challenges that require the sophistication of an advanced system. These include adding new types of trades to XVA, addressing tail risk behavior, and incorporating new or expanded CCR metrics.