The Cost of Perception: Why Global Capital Markets Are Failing the Developing World

By Vera Songwe and Mahmoud Mohieldin
June 17, 2026

In the corridors of global finance, the term “bankable” has become a convenient shorthand for dismissal. When institutional investors, sovereign wealth funds, and private equity giants survey the landscape of emerging and developing economies (EDEs), they frequently declare a dearth of projects worthy of capital infusion. Yet, this assessment is rarely a reflection of the inherent quality, feasibility, or economic necessity of the projects themselves. Instead, it is a symptom of a systemic pathology: the prohibitive and often irrational cost of capital.

For decades, the narrative has remained stagnant: developing nations are high-risk, volatile, and prone to default. Consequently, investors demand exorbitant risk premia—the extra return required to compensate for the perceived danger of investing in these markets. However, a growing body of evidence suggests that these assumptions are not only outdated but factually incorrect. By mispricing risk, global financial institutions are perpetuating a cycle of capital starvation that stifles growth, undermines sustainable development goals, and ultimately destabilizes the very global economy these investors seek to protect.

The Evidence Gap: The GEMs Risk Database Findings

The disconnect between reality and market perception has reached a breaking point. The latest data release from the Global Emerging Markets (GEMs) Risk Database provides the most compelling evidence to date that markets are systematically overestimating the risk of lending to developing economies.

The GEMs database, which tracks the performance of thousands of projects across the developing world, reveals a striking contrast: while private credit rating agencies and market analysts consistently predict high default rates and poor recovery outcomes for EDEs, the actual historical data shows a much more resilient picture. In many sectors—ranging from renewable energy infrastructure to telecommunications—the default rates in emerging markets are comparable to, and in some cases lower than, those in advanced economies.

Furthermore, when defaults do occur, the recovery rates—the percentage of principal and interest recouped by lenders—are significantly higher than what market risk models predict. This "recovery gap" suggests that the risk premia currently baked into loans for developing nations are not based on empirical performance, but rather on a lingering, pervasive bias that penalizes developing regions regardless of individual project merit.

Chronology of a Financial Misalignment

To understand how we reached this point of systemic misallocation, it is necessary to examine the evolution of the global financial architecture over the last quarter-century.

• 1997–2002: The Era of Emerging Market Contagion. The Asian Financial Crisis and the subsequent defaults in Argentina and Russia cemented a pessimistic view of developing market creditworthiness. During this period, risk models became hyper-sensitive to currency volatility and political instability.
• 2008–2012: The Post-Crisis Retrenchment. Following the Global Financial Crisis, Basel III regulations and heightened capital requirements led Western banks to pull back from "frontier" markets. The risk-aversion of the global banking system became institutionalized, with little differentiation made between stable developing economies and those facing acute distress.
• 2015–2020: The Sustainability Pivot. With the adoption of the UN Sustainable Development Goals (SDGs), the focus shifted to private finance mobilization. However, the mechanism for de-risking remained tethered to legacy models that still viewed EDEs through the lens of 1990s-era volatility.
• 2023–2026: The Data-Driven Pushback. A coalition of multilateral development banks (MDBs) and research institutions began aggressively publishing granular performance data. The current moment is defined by an intensifying debate between the "old guard" of risk modeling and a new school of evidence-based investment.

Supporting Data: The Mechanics of Mispricing

The cost of capital in an EDE is often three to five times higher than in an advanced economy for the same asset class. This is not driven by interest rates alone, but by a "risk premium" component that is often untethered from the actual credit risk of the project.

The Impact of Credit Rating Agencies (CRAs)

The "Big Three" credit rating agencies (Moody’s, S&P, and Fitch) exert an outsized influence on the cost of debt. Their methodologies, which heavily weight sovereign ratings, create a ceiling for sub-sovereign and private sector projects. If a country is downgraded due to macro-fiscal pressures, the cost of borrowing for a local solar project, for example, spikes automatically—even if that project is backed by long-term, hard-currency off-take agreements.

Recovery Rates vs. Assumptions

Data from the GEMs database indicates that for project finance in emerging markets, recovery rates often hover between 70% and 80%. Many institutional risk models, however, assume recovery rates in the range of 30% to 40%. This conservative bias is not "prudent"; it is mathematically distortive. It prevents projects that would yield solid, stable returns from ever reaching the "bankable" threshold, as the projected return on capital is artificially dragged down by these erroneous risk assumptions.

Official Responses and the Multilateral Push

The findings from the GEMs database have triggered a wave of responses from the international financial community. Multilateral Development Banks (MDBs) are under mounting pressure to reform their own internal risk-assessment frameworks to set a better example for private capital.

World Bank leadership and the G20’s Eminent Persons Group on MDB reform have both signaled that "business as usual" is no longer acceptable. The argument is that MDBs should leverage their balance sheets to provide more robust credit enhancements and guarantees. By absorbing the first loss, MDBs can act as a catalyst, proving the viability of projects and encouraging private investors to re-evaluate their risk models.

"The objective," notes a senior official from the African Development Bank, "is not to suggest that there is no risk in emerging markets. It is to ensure that the risk is correctly priced. When we misprice risk, we are effectively taxing development. We are making the transition to green energy, digital connectivity, and healthcare expansion more expensive than it needs to be."

Implications: The High Cost of Inaction

The consequences of this systemic misallocation of capital are profound and far-reaching.

1. The Infrastructure Deficit

At the heart of the "bankability" crisis is the global infrastructure gap. Developing countries need trillions of dollars to build the roads, power grids, and water systems necessary to support a growing middle class. When capital is mispriced, these projects are shelved, leading to a permanent reduction in the potential growth rate of the developing world.

2. Widening Inequality

Capital flows to where the cost of borrowing is lowest. This creates a feedback loop: advanced economies enjoy lower costs of capital, allowing for more investment and faster technological progress, while developing nations are trapped in a high-cost cycle. This exacerbates global inequality and makes it increasingly difficult for the Global South to bridge the development gap.

3. The Green Transition Crisis

Perhaps most critical is the impact on climate action. The vast majority of the world’s future carbon emissions will come from the developing world as it industrializes. If these nations cannot access affordable capital to build renewable energy infrastructure, they will be forced to rely on cheaper, coal-based energy. The current risk-pricing regime is effectively making the global fight against climate change an impossible mission for many nations.

Toward a New Financial Architecture

The path forward requires a fundamental recalibration of how we perceive risk. This is not a call for the abandonment of prudent fiscal management or risk assessment; rather, it is a plea for evidence-based risk assessment.

Investors, regulators, and rating agencies must move toward a more granular, data-driven approach that looks at individual project performance rather than broad sovereign-level labels. The transparency provided by databases like GEMs is a critical first step. By shedding light on the historical performance of projects, we can begin to dismantle the myths that have long hindered capital flows.

Furthermore, there is a clear role for policy intervention. Governments in advanced economies, through their development finance institutions (DFIs), must work to provide more sophisticated risk-mitigation tools—such as currency hedging and political risk insurance—that are tailored to the realities of the modern emerging market.

The era of relying on outdated risk premia must end. The global economy is at an inflection point; the capital is there, the projects are there, and the need is undeniable. The only remaining barrier is the artificial wall of perception. By tearing down this wall, we can unlock a new era of shared prosperity, ensuring that the term "bankable" is finally defined by the potential of the project, not the geography of its location.

In the coming months, the international community will be closely watching whether the private sector adapts to the new data, or whether it continues to hide behind the comfortable, albeit expensive, assumptions of the past. The evidence is clear; the choice remains.