Since 2016, banks in both Europe and the USA have looked at hedging credit card exposures via synthetic structures but to no avail. The greatest challenge for synthetic risk transfer structurers is determining the stated legal maturity for these exposures. Indeed, a trade from a European lender that is pending and expected to close in 2026 will act as a test case for future issuance.
RTRA Intelligence revealed in March 2026 that BAWAG is readying a synthetic securitization of credit card loans. The transaction would be arguably the first such trade in the market if successfully executed but there was another credit card SRT from Wizink Bank that closed in 2025, although that was likely a cash deal but this hasn’t been confirmed yet.
Synthetic risk transfer trades of credit card loans have been attempted in the past with banks keep coming back to them but the challenges of the asset class have prevented issuance from taking off.
Frank Benhamou, portfolio manager and head of SRT at Cheyne Capital explains: “SRT transactions typically require the legal maturity of the instrument to be at least as long as that of the longest-dated underlying asset, otherwise, a significant capital add-on can apply because of the maturity mismatch. Credit card receivables are more complex in this respect since they generally do not have a stated legal maturity and can, in practice, be revolving in nature.’’
He continues: ‘’Moreover, although customers may often terminate them at any time, banks are not always able to do so as freely, given the consumer protection and regulatory requirements that apply. As a result, there can be a debate in the context of an SRT over what should be considered the deemed maturity of a credit card exposure, and therefore whether a maturity mismatch exists.”
Similarly, another SRT investor notes: ‘’maturity is the biggest challenge since the credit protection has to be synchronized with the life of the asset, but you can’t do that if it’s not possible to determine the stated maturity. The only way to determine maturity is by securitizing credit card loans via cash structures. The notes in cash deals are synchronized with the cash flows of the portfolio but in the case of synthetics it’s a contractual commitment of the originator.’’
In practice this would mean that the credit protection would cover up to the full amount of each credit card reference obligation and this wouldn’t change regardless of the actual draw downs in the underlying loans. One question is whether replenishment could help but investors note that it will just make the trade longer in life.
The same investor notes: ‘’Replenishment would just make the deal longer and this would be challenging for drawn down funds that have to return capital to investors in five to seven years’ time. Perhaps these transactions could work for more long term investors such as pension funds and insurers but that remains to be seen.’’
In fact, these deals can only be structured as mezzanine tranches which would suit long term investors such as insurers and pensions well.
Thick mezzanine tranches specifically are necessary since losses in these loans can be volatile and cumulative. Moreover, by retaining a first loss tranche banks can also benefit from the upside. Nevertheless, if these trades do pick up they will be restricted to Europe since lenders can’t utilize synthetic excess spread in the UK and USA and synthetic excess spread here is essential.
The key question though on how do you determine the stated maturity remains. Industry practitioners suggest looking at cash structures for a potential answer.
According to a structured finance researcher, ‘’in cash deals you calculate the repayment speed of the pool and then principal repayments are collected and deposited into a reserve account to repay the principal as a soft bullet. The note is repaid and the newly generated receivables in the credit card account are back on the bank’s balance sheet along with the respective capital requirement. Something similar could be designed for synthetic risk transfer trades since synthetics involve an end of protection akin to any bullet payment.’’
In particular, in the case where the reference portfolio in a synthetic trade amortizes over time, the bank has to gradually build up capital to avoid cliff effects when the protection comes to an end if there is a large maturity gap between the protected portfolio and the protection. Conceptually, one could build capital via AT1 issuance or retained earnings.
However, this presupposes that the originator can find credit card assets with regular instalments otherwise it’s hard to build a case with the regulator. The tricky part is the loss volatility of credit card loans and the implication for estimating unexpected losses. The regulator will be paying attention to these types of losses since if they can’t be estimated satisfactorily, the capital cliff effect will be sharp once the credit risk returns on the bank’s balance sheet
The same researcher notes: ‘’Credit cards are a robust asset class but regulators could argue that certain portfolios might underperform during a systemic shock such as COVID-19 or the 2008 financial crisis. This is why originators have to ask themselves about the types of credit cards and their repayment profile that they want to securitize.’’
Hence, specific types of credit cards where the user doesn’t necessarily need the credit and pays in full on time every month given that they are a convenience user might be a good option to look at. Another alternative perhaps could be instalment cards.
Yet before lenders start selecting assets they will need to answer the second key question.
‘’The second key question is the nature of the underlying assets. In particular, should multiple drawdowns be treated as separate exposures or aggregated into a single asset’’ says Benhamou.
The final question is whether aiming to achieve capital relief for these assets makes sense from an efficiency standpoint. Evidently, the first starting point will be the capital regime.
Martin Neisen, partner at PwC notes: ‘’under the standardised approach for credit risk, credit card exposures are now more clearly differentiated by product type and behavioural characteristics. In particular, so‑called transactor exposures where customers typically settle the full outstanding balance each month and do not revolve balances, are treated as a distinct sub‑category.’’
He continues: ‘’where the contractual and behavioural criteria are met, these exposures may benefit from a preferential risk weight compared with classic revolving credit. At the same time, the regulatory treatment of undrawn credit card limits has changed materially. The minimum credit conversion factor (CCF) for unconditionally cancellable commitments has been increased from zero to ten percent.’’
The CCF is used to calculate the portion of a facility against which a lender is required to hold regulatory capital. The increase referred to means that banks must now hold capital against a portion of previously unutilised credit card limits, which can lead to a noticeable increase in RWAs for credit card portfolios, depending on the product design and cancellation rights .
For institutions using the IRB approach, the changes are conceptually aligned but play out differently in practice.
Neisen explains: ‘’Although PD and LGD estimations remain model‑based, the higher minimum CCF also applies and feeds directly into EAD calculations for revolving credit facilities. Moreover, supervisors are placing greater emphasis on the correct segmentation between transactors and revolvers, and on conservative assumptions where customer behaviour can switch under stress.’’
The change has implications not only for capital requirements at a portfolio level but also for the calibration of IRB models used as inputs into securitisation transactions, particularly where EAD dynamics and excess spread assumptions are sensitive to utilisation rates.
Neisen concludes: ‘’From a securitization perspective, these changes may well prompt some European banks with sizeable credit card portfolios to consider taking exposures off balance sheet. Yet securitizing revolving exposures such as credit card receivables is operationally and structurally complex. It requires robust systems, detailed data, dynamic replenishment mechanics and a careful alignment with regulatory and accounting requirements. As a result, banks are likely to prepare very thoroughly before pursuing such transactions.’’
