CCPs, exchanges and clearing houses make decisions that ripple far beyond their own balance sheets: margin calls, exposure limits, default fund adequacy, member onboarding and continued participation. Each rests on a credit assessment, and each comes under scrutiny from internal risk committees, member representation and supervisors. Where the underlying credit information is delayed, incomplete or absent — particularly for private, unrated or structurally complex members — the risk function is left choosing between acting too late and acting too bluntly.

Credit Benchmark provides the independent, externally sourced reference that closes that gap, with a network-wide perspective on every clearing member, parent group and sovereign linkage that matters.

How CCPs and exchanges use Credit Benchmark

• Independent validation of internal credit models — strengthen committee decisions and supervisory dialogue with an external reference point that complements internal model validation and calibration.
• Earlier identification of emerging member risk — consensus movements often reveal shifts in credit perception ahead of rating actions or defaults, enabling early adjustments to margin and stress assumptions during contagion, sovereign stress or correlated member weakness.
• Member onboarding and continued participation — bring an independent peer benchmark into onboarding and periodic reviews, with improved visibility into private, non-bank and structurally complex participants that traditional ratings rarely reach.
• Stress testing and default fund sizing — calibrate single-name and sector-wide deterioration scenarios (for example, European banks under stress) with historical CB transition matrices and aggregate indices, supported by explicit four-level look-through.
• Sponsored member oversight — for Sponsoring Members carrying compliance and ‘vouching’ responsibilities under rules such as the FICC Government Securities Division Rulebook (Rule 3A), Credit Benchmark provides the independent credit view needed to monitor sponsored members on an ongoing basis.
• Network-wide clearing member coverage — independent consensus ratings on roughly three-quarters of clearing members across 40+ named CCPs globally, including CME, ICE Clear, LCH, Eurex, DTCC, ASX, HKEX and SGX.
• Cleared securities finance — for venues offering or developing cleared securities financing models, network-wide credit data on borrowers, beneficial owners and collateral issuers supports Basel End Game capital-efficiency arguments and member risk decisions.

Four-level look-through risk framework

The most damaging credit events rarely come from a single name in isolation — they come from second-order effects: correlated deterioration across members, shared parent dependencies, sovereign stress and liquidity contagion. Credit Benchmark supports credit intelligence at entity level (member monitoring, eligibility, margin add-ons), parent level (group support risk and contagion across subsidiaries), sovereign level (wrong-way risk and correlated domestic stress) and aggregate level (concentration monitoring and correlated default scenarios for stress testing and default fund sizing).

Case study in brief: Canadian Derivatives Clearing Corporation (CDCC)

The Canadian Derivatives Clearing Corporation (CDCC) — the wholly-owned subsidiary of the Montréal Exchange and the only integrated CCP in North America clearing futures, options and options on futures — uses Credit Benchmark to harmonize credit assessment across its clearing member network, with particular value on private and unrated entities.

Read the full case study

Outcomes

Earlier identification of emerging member risk, fewer blind spots in member monitoring, defensible default fund and stress assumptions, stronger risk committee and supervisory dialogue, and the confidence to act proportionately before stress becomes systemic.

Broker dealers, market-makers and other intermediaries face a counterparty universe that has grown more diverse and more opaque in equal measure. Hedge fund clients, non-bank participants, fintech and crypto-native firms, regional broker dealers and trading firms now sit alongside the large bank-owned counterparts that historically dominated the flow. Traditional ratings cover only a fraction of that universe — and the long-standing assumption that all counterparts can be treated equally is becoming harder to defend.

Credit Benchmark provides independent Credit Consensus Ratings across the full counterparty universe, drawn from the credit views of the very banks that face these counterparts on their own balance sheets.

How intermediaries use Credit Benchmark

• Counterparty selection and credit committee support — sharpen counterparty selection across hedge fund clients, prime brokerage relationships and dealer-to-dealer flow, and strengthen internal credit committee decisions with an external benchmark on the banks, brokers and funds the desk faces daily. For smaller firms without the budget for a dedicated credit analyst, Credit Benchmark also serves as an accessible, independent check on counterparty risk.
• Securities finance onboarding and monitoring — independent Credit Consensus Ratings on borrowers, beneficial owners, broker dealers and agent counterparts, including the substantial unrated population that traditional ratings miss.
• Indemnification pricing and risk transfer — bring counterparty-level credit consensus into indemnification pricing so the premium reflects the disparate creditworthiness of borrowers, rather than pricing on a flat basis.
• Allocation algorithms — overlay creditworthiness on agent lender allocation logic so business is directed in a way that reflects both fiduciary obligations and the credit risk profile of the underlying counterparts.
• Collateral risk management — decide which assets qualify as collateral and monitor the deterioration of collateral issuers using Credit Benchmark issue ratings (available via Bloomberg) and 130,000+ bond and loan ratings.
• Sell-side advisory, research and business development — equip research, idea generation and client coverage with consensus credit views on names that carry no agency rating, extending the credit story the desk can tell its clients.
• Concentration and capital-efficient client management — sector indices and correlation matrices surface accumulation risk across borrowers and beneficial owners, supporting risk-sensitive, capital-efficient client management as Basel End Game reshapes the economics of intermediation.

Outcomes

Defensible counterparty decisions backed by an independent peer benchmark, network-wide visibility on counterpart credit quality including the private and unrated names, risk-sensitive pricing and allocation aligned with creditworthiness, and a credible credit foundation as the industry adapts to Basel End Game and the next generation of cleared models.

Corporate treasury and supply chain teams carry real credit risk without the dedicated infrastructure a bank brings to it. Corporate cash and undrawn credit lines sit with banks whose own credit profile matters; derivatives hedges depend on counterparty strength; and along the supply chain, the failure of a key supplier or customer cascades operationally and through working capital long before it shows up in a public rating — if the counterpart is rated at all.

Credit Benchmark gives corporates the consensus view of the world’s leading banks on exactly these names, including the private and unrated counterparts that dominate most corporate networks.

How corporate treasury and supply chain teams use Credit Benchmark

• Bank and counterparty oversight — independent visibility on the banks holding corporate cash, providing credit lines and supplying derivatives hedges, including the regional and non-G-SIB names where agency coverage is thinnest.
• Treasury credit policy — bring the consensus view of leading banks into treasury credit policy, limit-setting and periodic counterparty reviews.
• Supply chain credit monitoring — apply consensus credit signals to suppliers and key vendors where credit failure cascades operationally, supporting earlier intervention and contingency planning.
• Customer concentration and working capital — monitor the credit health of major customers whose deterioration drives receivables and working-capital risk.
• Securities lending and collateral — for corporate treasuries active in securities lending or collateral management, independent ratings on borrowers, collateral issuers and the counterparts holding the corporate’s securities. This applies directly to commodity trading houses, which routinely assess the credit quality of suppliers, offtakers and trading counterparts — many of them unrated — across physical and financial trades.

Outcomes

Independent, bank-sourced visibility on banks, suppliers and customers, earlier warning of counterparty and supply chain deterioration, better-supported treasury credit policy, and a credible reference point for names that would otherwise be invisible to a corporate credit process.

Supranationals, governments and state entities form credit views in service of public objectives: monitoring financial stability, supervising regulated institutions, managing reserves, and underpinning the lending, guarantee and development finance programs that direct public money. Those views increasingly need to reach counterparts and exposures that traditional agencies do not cover — emerging-market entities, non-bank participants and the private corporates and financials that dominate real-economy programs.

Credit Benchmark provides independent, peer-sourced credit signals across that universe, drawn from the internal views of the world’s leading banks.

How public-sector bodies use Credit Benchmark

• Macro-financial surveillance and policy analysis — apply independent, peer-sourced credit signals to surveillance of the financial system and the credit assumptions underpinning policy analysis, where unrated exposures dominate.
• Supervisory work — bring an external, aggregate benchmark into the supervision of regulated institutions and the review of their internal credit models.
• Reserve management and sovereign activity — independent credit oversight on the counterparts to central bank reserve management, sovereign repo and securities lending, including emerging-market and non-bank counterparts that fall outside agency coverage.
• Public-sector lending, guarantee and development finance — support the credit assumptions underpinning public lending, guarantee and development finance programs with consensus ratings on the corporates, financials and sovereigns those programs reach.

Outcomes

Independent credit signals for surveillance, supervision and policy work, visibility on the unrated and emerging-market exposures that public programs increasingly carry, and a credible external benchmark for the credit assumptions behind public-sector financing.

For pass-through partners, derived-data providers, sell-side research desks and analytics vendors, the value of Credit Benchmark is reach. Consensus ratings extend the credit coverage of a partner platform into the private and unrated entities that no agency feed can serve — the same names that increasingly populate the networks their own users care about.

Credit Benchmark works with partners across several models, from straightforward redistribution to embedded and derived analytics.

How partners use Credit Benchmark

• Pass-through and redistribution — embed Credit Benchmark consensus ratings directly into partner platforms, securities finance systems, agent lender tools and collateral management workflows, extending coverage into the unrated universe their users face.
• Referrals — connect clients who need independent credit consensus with Credit Benchmark through referral relationships.
• Derived data — build derived analytics, indices and signals on top of Credit Benchmark consensus data, subject to the relevant data agreements.
• Sell-side advisory, research and business development — incorporate consensus credit views into sell-side research and analytics products, strengthening the credit content partners can offer their own clients.

Outcomes

Broader credit coverage for partner platforms and their users, differentiated content built on an independent, bank-sourced consensus, and a route to the unrated entities that traditional rating feeds cannot reach.