OECD country risk classification: export credit

The OECD classifies countries into eight risk categories, from 0 to 7, to establish minimum premium rates for officially supported export credits. Each category reflects a quantitative assessment of payment history, macroeconomic conditions, institutional quality and climate exposure, adjusted by expert judgment from export credit agencies across OECD member states. This framework underpins official export credit pricing globally.

The eight categories and pricing mechanics

Each risk category maps to a minimum premium rate for cover on obligors in that country. High-income OECD countries and euro-area members fall outside this scale entirely and use market-based pricing instead. This distinction matters operationally: classification applies primarily to developing and emerging-market countries where payment risk varies materially and where official export credit agencies operate to support national exporters.

Within each category, all participating export credit agencies must charge at least the regulatory minimum premium. This creates a level playing field: a buyer in a given risk category pays the same minimum premium regardless of the exporter's home country, eliminating subsidy races that would otherwise distort international commerce and burden taxpayers. The minimum rate represents the floor; agencies may charge higher premiums for additional risk factors or weaker security packages.

Premium rate anchoring to country classification directly affects deal economics and structuring. A supplier credit to a buyer in a higher-risk category typically carries higher borrowing costs, requires stronger collateral, or demands shorter tenor than the same supply to a lower-risk buyer. Medium-term financing arrangements, buyer credit structures and political risk insurance products all price from the category-implied risk premium. In project finance, the buyer country classification also feeds into debt tenor, pricing and reserve requirements.

How OECD country risk classification works

Classification follows a two-stage process. The OECD Arrangement first applies the Country Risk Assessment Model (CRAM), a quantitative framework that draws on four indicator sets. Payment history comprises actual default experience reported by export credit agencies themselves over decades of lending, reflecting which countries have historically honoured or defaulted on sovereign and commercial obligations. Financial condition incorporates debt ratios, foreign exchange reserves and capital flow data drawn from IMF and World Bank sources, capturing liquidity stress and ability to meet foreign currency obligations. Economic situation covers growth, inflation, policy credibility and structural vulnerabilities that affect a country's ability to generate foreign earnings. Institutional strength reflects World Bank governance measures including regulatory quality, rule of law and control of corruption.

CRAM produces a numerical score. The second stage involves expert assessment by country risk specialists from export credit agencies across participating nations. These specialists review payment experience, political risk, sectoral vulnerabilities and macroeconomic dynamics the model may underweight, then adjust the classification accordingly. The expert overlay matters because country risk extends beyond headline metrics: political will to service obligations, regulatory stability, policy consistency and sudden shocks all affect repayment capacity. A country may show strong conventional macro metrics yet suffer from governance breakdown or capital controls that prevent actual debt service.

The 2024 model revision and governance focus

In January 2024, the OECD introduced a revised CRAM model that shifted the assessment hierarchy significantly. Governance and institutional quality became the single most important new indicator set, reflecting evidence from default experience that institutional capacity and policy credibility drive credit outcomes as powerfully as debt-to-GDP ratios or foreign exchange reserves. The revision also assigned greater weight to climate-related risk, acknowledging physical climate hazards and transition risks that affect repayment capacity across sectors.

The governance upgrade reflects decades of export credit data showing that institutional quality predicts payment behaviour more reliably than conventional macroeconomic snapshots. Countries with independent central banks, transparent budget processes, predictable regulatory frameworks and enforceable contracts tend to service obligations reliably even during temporary downturns. Conversely, countries with weak institutions, political interference in monetary policy or arbitrary capital controls can default despite headline macroeconomic strength. The revision formalised this insight into the model's weightings.

Climate integration acknowledges that physical and transition risks now materially affect creditworthiness. Countries with high exposure to extreme weather, water stress, agricultural vulnerability or dependence on fossil fuels face structural repayment challenges not captured by conventional financial indicators. Exporters to agricultural-dependent economies, for example, face hidden credit risk from persistent drought or changing precipitation patterns. Energy transition exposes commodity-dependent exporters in hydrocarbon-reliant economies to stranded collateral and sectoral dislocation.

The revised model was tested against historical default data observed in official export credit portfolios, with the stated aim of reducing the need for expert adjustments by improving the model's own predictive alignment.

Structuring and tenor implications

Country classification directly shapes transaction structuring. Buyers in higher-risk categories face higher premium floors, and agencies often respond with stronger security requirements or restricted cover appetite for the highest-risk markets. Insurance premium floors and collateral expectations incorporate the category-implied risk.

Export finance professionals track classification updates carefully because shifts affect the cost and terms of cover available for new transactions. A country's movement between categories would raise minimum premium rates and could tighten tenor limits or collateral requirements on new deals closing after the classification change takes effect. Deal teams must monitor the update schedule to adjust pipeline pricing and structuring assumptions.

Annual review and material changes

Classifications undergo review at least annually and whenever material economic or political shifts occur. The OECD's country risk expert group, drawn from export credit agencies across participating countries, publishes the current classification list and maintains an update schedule. Very small nations or those with minimal official export credit activity may not receive active classification, though larger market participants typically maintain active status.

Classification reflects current conditions rather than long-term projections, so countries can shift categories year to year based on evolving data and payment experience. Emerging crises, policy reversals or improved governance can trigger reclassification outside the annual cycle. Export finance participants must monitor these updates to adjust pricing, tenor and structuring of new transactions accordingly.

The methodology has remained operationally stable through financial crises, shifts in capital markets and persistent global risks. The 2024 model revision demonstrates the framework remains responsive to new evidence about what drives default risk in the countries where official export credit agencies operate.