It is one thing to be considered risky. It is quite another to be persistently mispriced. For decades, African economies have been assessed through risk frameworks that only partially capture their realities. The consequence has not simply been analytical distortion – it has been a material cost to development.
The issue is not that Africa should be shielded from scrutiny. On the contrary, rigorous assessment is essential for functioning capital markets. The problem is that prevailing models of risk evaluation systematically misread African economies, producing outcomes that are inconsistent with underlying fundamentals. What is at stake is not sentiment, but accuracy.
Evidence of this distortion is mounting. A study by the United Nations Development Programme estimates that African countries pay significantly higher borrowing costs than peers with similar macroeconomic indicators, resulting in up to $74.5 billion in excess interest payments and lost financing opportunities (UNDP, 2023).
This “Africa premium” cannot be fully explained by debt ratios, growth performance, or inflation dynamics. Instead, it reflects the translation of perception into price.
The asymmetry becomes clearer when examining how ratings evolve over time. African sovereigns are often downgraded rapidly during periods of stress but experience slower or more limited upgrades during recovery phases.
Research has shown that rating actions tend to amplify market volatility rather than smooth it, particularly in frontier markets (IMF, 2024). In practical terms, this means that countries face higher borrowing costs precisely when they have the least fiscal space to absorb them.
The structure of the ratings industry reinforces this dynamic. Three agencies – Moody’s, Standard & Poor’s, and Fitch – dominate approximately 95 per cent of the global market. Their methodologies, while sophisticated, are shaped by data availability, institutional histories, and financial architectures that differ markedly from those in many African economies (Fofack, 2021). This is not necessarily a matter of intent, but of design. Models built for one context do not automatically translate well to another.
Market behaviour often reveals these inconsistencies. African sovereign bond issuances are frequently oversubscribed, indicating strong investor demand even when ratings remain conservative. Nigeria’s Eurobond issuances, for example, have repeatedly attracted substantial investor interest despite relatively low credit ratings.
This divergence suggests that investors, when pricing risk directly, may incorporate factors that rating methodologies underweight or overlook.
At the same time, rating decisions can have outsized effects. Downgrades trigger higher yields, which increase debt servicing costs, which in turn worsen fiscal indicators – creating a feedback loop that reinforces the initial assessment. This circularity raises an important question: to what extent do ratings reflect risk, and to what extent do they shape it?
Addressing this issue requires more than incremental adjustment. What is needed is a clearer articulation of the principles that should guide the evaluation of African risk.
Such a framework must begin with transparency: the criteria used to assess creditworthiness should be explicit, consistently applied, and open to scrutiny. It must also be empirically grounded, distinguishing between liquidity constraints and structural insolvency, and recognising the role of external shocks in shaping macroeconomic outcomes.
Equally important is context sensitivity. African economies are often penalised for structural characteristics – such as commodity dependence or infrastructure gaps – that are themselves legacies of historical patterns of integration into the global economy.
A credible framework should account for reform trajectories, revenue mobilisation efforts, and institutional improvements, rather than relying predominantly on static indicators.
Data is central to this effort. One of the persistent challenges in assessing African economies has been the availability and timeliness of reliable data. Yet this is changing.
Advances in digitalisation, improvements in public financial management, and greater transparency in debt reporting are expanding the informational base on which assessments can be made. Risk models must evolve accordingly.
It is within this broader context that recent institutional initiatives should be understood.
The Africa Credit Rating Agency (AfCRA), endorsed by the African Union, represents an attempt to diversify the sources of credit assessment and incorporate more locally grounded analysis.
Its potential contribution lies not in producing more favourable ratings, but in improving the quality and relevance of information available to markets. Its credibility will depend on independence, methodological rigour, and its willingness to challenge both overly pessimistic and overly optimistic narratives.
Similarly, the proposal for a Borrowers’ Forum – now supported within discussions at the United Nations Conference on Trade and Development – reflects a recognition that the current global financial architecture does not adequately represent the perspectives of debtor countries.
By facilitating coordination among borrowers, such a forum could help address informational asymmetries and improve the terms of engagement with creditors (UNCTAD, 2025).
These initiatives are best seen as components of a broader shift rather than as standalone solutions. No single institution can, on its own, recalibrate how African risk is perceived and priced. The deeper transformation lies in establishing a more balanced ecosystem of analysis, where multiple perspectives coexist and compete, and where methodologies are continuously tested against empirical reality.
Ultimately, the question is one of credibility. For African countries, credibility depends on strengthening fiscal governance, enhancing transparency, and sustaining reform efforts. For those who assess African risk, credibility depends on the ability to produce evaluations that are not only technically sound but also contextually informed.
The current moment offers an opportunity to move beyond inherited assumptions. As global economic conditions become more uncertain and capital becomes more selective, the precision with which risk is assessed will matter even more. Mispricing is not a neutral error; it has distributive consequences, shaping who has access to finance and at what cost.
Africa’s objective is not to redefine risk in its favour. It is to ensure that risk is defined correctly.
That requires a framework that is transparent, data-driven, and attentive to context. It requires institutions that can generate and interpret information with greater proximity and insight. And it requires a willingness, on all sides, to question long-standing practices that no longer serve their intended purpose.
The price of perception has been high. Reducing it begins with understanding how it is constructed – and ensuring that the rules by which it operates are no longer beyond contestation.
The writer is professor at the Mandela School of Public Governance, University of Cape Town